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Title & Speakers	Event
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00 To access this webinar, please register here: https://hubs.li/Q02hb17v0 Topic: "Building Predictive Marketing lists using Feature Engineering" Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives. Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn. Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/	WEBINAR "Building Predictive Marketing lists using Feature Engineering"
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 Sharada Narayanan – Sr. Data Scientist @ dotData Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. arima prophet feature engineering automl auto feature engineering	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 Sharada Narayanan – Sr. Data Scientist @ dotData Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharada will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. arima prophet feature engineering time series forecasting machine learning	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 To access this webinar, please register here: https://hubs.li/Q021xPb10 Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering" Speaker: Sharada Narayanan, Sr. Data Scientist at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 To access this webinar, please register here: https://hubs.li/Q021xPb10 Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering" Speaker: Sharada Narayanan, Sr. Data Scientist at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 To access this webinar, please register here: https://hubs.li/Q021xPb10 Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering" Speaker: Sharada Narayanan, Sr. Data Scientist at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering
Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00 To access this webinar, please register here: https://hubs.li/Q021xPb10 Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering" Speaker: Sharada Narayanan, Sr. Data Scientist at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics. Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis. ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/	Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

WEBINAR "Building Predictive Marketing lists using Feature Engineering" 2024-02-06 · 17:00

To access this webinar, please register here: https://hubs.li/Q02hb17v0

Topic: "Building Predictive Marketing lists using Feature Engineering"

Speaker#1: Brandon Bednar, Demand Generation Manager at dotData Brandon is a seasoned marketing professional with an MBA from Purdue University, where he specialized in information systems. In addition to his MBA, Brandon also holds certificates in data science from IBM and Kaggle. With 10 years of experience optimizing digital marketing campaigns for companies ranging from startups to the Fortune 500s, Brandon brings a wealth of knowledge and unique perspectives.

Speaker#2: Sharada Narayanan, Data Scientists at dotData Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData’s Demand Generation Manager, Brandon Bednar, and dotData Data Scientist Sharada Narayanan as they walk you through a hands-on example of how to leverage your in-house first-party data to build predictive audiences for targeted advertising on social channels like LinkedIn.

Join dotData to learn how we were able to boost our conversion rate by 310%, lowered our CPC rate by 18% all through the power of Feature Engineering.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02dRv-l0 • Code of conduct: https://odsc.com/code-of-conduct/

WEBINAR "Building Predictive Marketing lists using Feature Engineering"

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

Sharada Narayanan – Sr. Data Scientist @ dotData

Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

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Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

Sharada Narayanan – Sr. Data Scientist @ dotData

Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Sharada will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

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Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

To access this webinar, please register here: https://hubs.li/Q021xPb10

Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering"

Speaker: Sharada Narayanan, Sr. Data Scientist at dotData

Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

To access this webinar, please register here: https://hubs.li/Q021xPb10

Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering"

Speaker: Sharada Narayanan, Sr. Data Scientist at dotData

Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

To access this webinar, please register here: https://hubs.li/Q021xPb10

Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering"

Speaker: Sharada Narayanan, Sr. Data Scientist at dotData

Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering 2023-10-05 · 16:00

To access this webinar, please register here: https://hubs.li/Q021xPb10

Topic: "Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering"

Speaker: Sharada Narayanan, Sr. Data Scientist at dotData

Sharada brings 6+ years of experience in Data Science and Machine Learning to dotData. Sharada is an integral part of the Customer Success team, supporting the automation of business solutions using dotData’s AutoML and Auto Feature Engineering. Sharada’s background includes diverse experiences from the retail and automotive industries working on implementing Machine Learning solutions for Customer Analytics, Supplier Analytics and Purchasing analytics.

Abstract: Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms. Dive into the insights of each method and see how programmatic feature engineering and machine learning can supercharge your time series analysis.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q023dNxK0 • Code of conduct: https://odsc.com/code-of-conduct/

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

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