talk-data.com

Turn your current tasks into clear, resume-ready bullets that sound more data-focused 👉 Resume Transformer: https://datafairy.io/GMM2DJKWM9 Here's a realization you need to hear: You're a Data Analyst ALREADY. You're not as far away as you think you are. In this episode, I teach you how to reframe your everyday tasks (and mind) to showcase your existing data skills, along with some real-life examples from my bootcamp students! Also, I provide useful tips to enhance your LinkedIn profile and resume to attract more job opportunities! 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 Introduction: You're a Data Analyst already! 02:16 #1: Sales Professionals 03:04 #2: Teachers 03:54 #3: Delivery Drivers 04:40 #4: Physical Therapists 05:24 #5: Parents 06:12 #6: Retail Workers 06:41 #7: Construction Workers 07:26 DataFairy.io Check out these episodes! The ONLY Framework to Become a Data Analyst in 2025 (SPN Method) 👉 https://datacareerpodcast.com/episode/141-the-only-framework-to-become-a-data-analyst-in-2025-spn-method Zero to Data Analyst: Tim Beecher’s Journey from Locksmith to Data 👉 https://datacareerpodcast.com/episode/81-zero-to-data-analyst-tim-beechers-journey-from-locksmith-to-data

This Math Teacher Became a Data Analyst in 50 Days w/ Alex Sanchez 👉 https://datacareerpodcast.com/episode/112-this-math-teacher-became-a-data-analyst-in-50-days-w-alex-sanchez

How This Delivery Driver Became a FAANG Data Analyst (Jen Hawkins) 👉 https://datacareerpodcast.com/episode/154-how-this-delivery-driver-became-a-faang-data-analyst-in-100-days-jen-hawkins

This Physical Therapist Became a Data Analyst AFTER a 20-Year Career (Melody Santos) 👉 https://datacareerpodcast.com/episode/160-she-became-a-data-analyst-after-a-20-year-career-in-physical-therapy-melody-santos

From Construction to Data Analytics (Jordan Temple's Story) 👉 https://datacareerpodcast.com/episode/79-from-construction-to-data-analytics-jordan-temples-story

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

PyCon US 2025 is coming to Pittsburgh this May 14–22, and PyData Pittsburgh is thrilled to be part of it! We’re hosting the Hometown Heroes Hatchery track on Saturday, May 17—a half-day event inside the conference celebrating the incredible work of Python developers, researchers, educators, and technologists from across our city. As part of PyCon’s Hatchery initiative, this track will feature presentations and lightning talks that highlight the creativity and impact of Pittsburgh’s Python community.

If you're attending PyCon US 2025, we invite the PyData Pittsburgh community to join us at the Hometown Heroes track—come connect, engage, and help showcase the strength of our local tech scene.

Please note: you must be registered for PyCon US 2025 to attend this event, and all attendees and speakers are responsible for securing their own tickets. You can find registration details for the Conference here:https://us.pycon.org/2025/attend/information/.

HOMETOWN HEROES HATCHERY PROGRAM - May 17th

TALK SCHEDULE:

Decoding Spatial Biology with Python: Multi-Modal Insights into Breast Cancer Progression Time: 01:45 PM - 02:15 PM Speakers: Alex C. Chang, CMU-Pitt (Graduate Student PhD, Computational Biology ) and Brent Schlegel, University of Pittsburgh School of Medicine (Graduate Student PhD, Integrative Systems Biology)

Python has rapidly become a cornerstone of scientific computing, computational biology, and bioinformatics due to its ease of use and scalability for handling large datasets—qualities that are critical in today’s “big data” era of clinical and translational research. As computational resources and data collection methods continue to expand, we are now empowered to ask larger and more clinically relevant questions that enable us to dissect complex biological systems with unprecedented detail. However, this surge in data complexity brings new challenges, from the integration of diverse data modalities to the need for sophisticated analytical methods capable of untangling intricate biological signals from background noise. In this talk, we describe how Python not only meets these challenges but also drives innovation through the development of novel bioinformatics tools like CITEgeist—a case study in harnessing Python’s capabilities for multi-modal spatial transcriptomics. Biological datasets often face challenges of high sparsity and noise. CITEgeist harnesses Python’s robust ecosystem to provide an efficient, scalable pipeline that deconvolutes messy spatial signals into actionable, clinically relevant features.

Exploring Energy Burden in Pittsburgh Neighborhoods with Python Time: 02:30 PM - 03:00 PM Speakers: Ling Almoubayyed, SmithGroup, Inc. (Project Manager) and Husni Almoubayyed, Carnegie Learning

National-level energy studies consistently find that energy burdens are a significant challenge, and that lower-income neighborhoods sometimes end up paying more for energy in cities including Pittsburgh. Using Python, we were able to extract and analyze data on energy consumption in the City of Pittsburgh, along with real-estate and geographic information system (GIS) data to compare trends in energy usage and burden across Pittsburgh neighborhoods, and across different housing types. We present statistical analyses and Python visualizations describing these trends across different features such as housing price, size, and neighborhood.

Bottling Tesla's Solar: A Solar Dashboard with Python Time: 03:15 PM - 03:45 PM Speaker: Christopher Pitstick (Sr. SWE)

Tesla's Powerwall/Inverter solar ecosystem are powerful yet notoriously opaque. For home labbers, extracting meaningful data can be daunting—but not impossible. In this talk, I'll share my journey of developing a custom solar dashboard using Grafana and PyPowerwall, navigating the quirks and closed nature of Tesla's ecosystem along the way. The backend is all Python, so I will demo my server code and dashboard to show how I was able find hundreds of kilowatt hours in lost solar production. In this talk, we'll do a deep dive into the way I altered the Python server code to be able to query multiple inverters at the same time with complex iptable rules. This presentation may conclude with the value of installing solar on your home, and how self-monitoring is a critical component of every nerd's arsenal.

Strategies for Eliciting Structured Ouputs from LLMs Time: 03:50 PM - 03:55 PM Speaker: Utkarsh Tripathi, Solventum (Machine Learning Engineer)

This lightning talk will provide a concise yet comprehensive overview of techniques for extracting structured, predictable outputs from Large Language Models. I will compare and demonstrate multiple state-of-the-art libraries (such as BAML, Instructor, Langchain, SGLang etc. + how they work under the hood), utilize pydantic / dataclass / etc. to get structured outputs. We will explore practical examples of JSON schema enforcement, markdown formatting directives, and template-based approaches that dramatically improve downstream processing capabilities. The presentation will include code snippets and prompt templates that participants can immediately implement in their own projects.

Does Generative AI Know Statistics? Time: 03:55 PM - 04:00 PM Speaker: Louis Luangkesorn, Highmark Health (Lead Data Scientist)

Generative AI has promise to impact many fields of endeavor. But experience has shown that it often has problems with nuance and context. This talk discusses some experiences using Generative AI as an aid in applied analytics and walks through an example that illustrates working around its weaknesses and taking advantage of its capabilities.

Demystifying How Animal Behavior Affects Disease Spread Using Python Time: 04:00 PM - 04:05 PM Speaker: Carolyn Tett, University of Pittsburgh (Research Technician)

Not all individuals contribute equally to disease spread. During COVID-19, social distancing reduced transmission for some, while high-contact individuals increased disease spread. Preventative measures for massive disease outbreaks, however, cannot rely solely on data from rare epidemic events. Instead, disease ecologists study animal models to understand how host behavior theoretically drives disease outbreaks. Tracking animal movement and interactions is essential for identifying transmission-relevant behaviors. In lab experiments, video recordings provide an abundance of behavioral data, now efficiently processed through automation, and coding languages like Python enable large-scale data analysis. The Stephenson Lab at the University of Pittsburgh uses Raspberry Pis to autonomously record guppies infected with an ectoparasite. These parasites transmit primarily through instances of close contact between hosts. Through autonomous video recordings, we generated 1,300 hours of footage—equivalent to 54 consecutive days of observation. Given that each video captures six guppies, manually tracking behavior would take tens of billions of days. Instead, animal tracking software reduces this processing time to a mere few months.

The Many-Colored Functions of Async Python Time: 04:15 PM - 04:45 PM Speaker: Bryan C. Mills, Duolingo (Senior Software Engineer)

You might think of functions in async Python in terms of “synchronous” and “async”, but the possibility of binding objects (such as Locks) to the asyncio event loop adds a whole new dimension to consider. We'll examine six vibrant kinds of functions and how they interact! This talk will examine code examples of how to adapt each kind of function to call other kinds, suggest design patterns that minimize the complexity of dealing with different kinds (such as non-blocking context managers), and examine patterns or libraries to safely synchronize concurrent calls involving multiple kinds of function.

Automated Dependency Inference and its Applications Time: 05:00 PM - 05:30 PM Speaker: Jason R. Coombs, Microsoft (Principal Software Engineer)

Last summer, I launched the Coherent Software Development System (https://bit.ly/coherent-system) with the principal that one should not have to repeat themselves when developing more than one Python project. One of the key innovations of that system is coherent.deps, a system for deriving package dependencies from the imports that a project or script uses. I'll explore some of the background motivations from Google's monorepo, some prior art at Meta, and some of the approaches that failed (AI-based inference) before going into the details of the implementation (AST parsing, world-readable MongoDB database, Big Table query to PyPI downloads). I'll additionally talk about some of the applications of this generalized library (coherent.build, pip-run), some of the maintenance challenges (expensive query, refresh interval), and possible other applications (on-demand dependency loader).

SPEAKER BIOS:

Alex C. Chang Alexander Chih-Chieh Chang is a fourth-year MSTP student in the CMU-Pitt Computational Biology Ph.D. Program, mentored by Drs. Lee and Oesterreich. He earned a BS/BA in Chemical and Biomolecular Engineering/Sociology from Johns Hopkins University in 2021. Previously, during his undergraduate research in the lab of Rong Li, Ph.D., he conducted large-scale genomic screens to study proteomic dysregulation and spent a gap year in the lab of Manish Aghi, MD. PhD., studying breast cancer metastasis to the brain. Currently, as a computational biologist and medical student, he coordinates the Hope for OTHERS tissue donation program in the Lee-Oesterreich Lab and computational research projects in breast cancer metastasis and genomic evolution. Brent Schlegel Brent Schlegel is a first-year PhD student in Integrative Systems Biology at the University of Pittsburgh School of Medicine, co-mentored by Drs. Adrian Lee and Steffi Oesterreich. He earned his AS in Mathematics and Sciences from CCAC (2019) and a BS in Computational Biology from Pitt (2021). Most recently, he worked as a Bioinformatics Analyst at the UPMC Children’s Hospital of Pittsburgh, where he specialized in the integrative analysis of large, complex biomedical datasets. Now, Brent combines data science, computational modeling, and multi-omic integration to tackle the systems biology of invasive lobular breast cancer, using patient-derived organoid models and leveraging “big data” to uncover hidden patterns and drive innovation in diagnosis and treatment.

Ling Almoubayyed Ling is an experienced architecture and urban designer with extensive project management expertise. Specializing in urban design, planning, community engagement, and spatial analysis, she has successfully led projects ranging from individual buildings to comprehensive urban districts. Ling uses evidence-based design with data gathered through stakeholder engagement to identify the best design solutions to create built environments. She is currently a Project Manager with SmithGroup. Husni Almoubayyed Husni Almoubayyed is the Director of AI at Pittsburgh-based education technology company Carnegie Learning. Husni uses machine learning and data science methods to conduct research in education, specifically in topics such as personalization, equity, and predictive analytics. Prior to his work in education technology, Husni acquired a Ph.D. in Astrophysics from Carnegie Mellon University, where he worked on mitigating biases in astronomical data to advance understanding of dark energy. Needless to say, Python is Husni's favorite programming language, and PyCon is one of his favorite events of the year!

Christopher Pitstick Christopher, a passionate software engineer who installed solar panels on his home in 2024, quickly immersed himself in system analysis to optimize performance—expertise that directly inspired this presentation. His programming journey began at age 12 with QBasic, igniting a lifelong passion that led to roles at industry giants including Microsoft, Amazon, and Argo AI before joining his current position at Latitude. Throughout his career, Christopher has mastered multiple programming languages from C++ to Perl and Python, approaching coding both as a profession and personal passion. As a dedicated neurodiversity advocate, he regularly shares his experiences through public speaking engagements, raising awareness and empowering others in the tech community.

Utkarsh Tripathi Utkarsh Tripathi is a Machine Learning Engineer at Solventum, Inc., where he works on Solventum™ Fluency Align™ and Solventum™ Fluency Direct™ : AI-powered clinical documentation tools that leverage conversational and generative AI, along with ambient intelligence, to automate medical documentation. These solutions help reduce administrative work and physician burnout, while improving the overall patient care experience. Utkarsh holds degrees in Electrical Engineering, Chemistry, and Computer Science from BITS Pilani and the University of Chicago.

Louis Luangkesorn Dr. Louis Luangkesorn is a Lead Data Scientist at Highmark Health where he works on projects applying statistical, predictive, operations research, and Generative AI models in use cases involving human resources and healthcare. He has contributed code to Scipy and a book appendix porting a simulation textbook's examples to Simpy.

Carolyn Tett Carolyn is an ecologist that specializes in animal behavior and disease ecology. She works with guppies and their ectoparasites to better understand how host contact rate and physiological status impact disease spread. She captures guppy behaviors on video and uses Python to automate the video processing. Using these outputs, she quantifies guppy social metrics and runs statistical models to predict behavior-mediated parasite spread.

Bryan C. Mills Bryan maintains Python core services at Duolingo, and was formerly a maintainer on the Go project at Google.

Jason R. Coombs Jason's been a passionate contributor to Python and open source software since the 90's, is a core contributor to Python, and maintains hundreds of packages in PyPI.

A lot of Data Analysts and Data Scientists are worried about how AI will impact their careers and the future of the industry. Is AI coming for our jobs? Or is this just another example of new technology that can make us more effective? In this episode, YouTube's Alex The Analyst will walk you through the state of AI in data, some of the most interesting AI tools, and share his predictions about where this is all headed and what it means for the future of your data career. You'll leave this session with a much better understanding of the current state of AI, likely future trends, and how you should be thinking about AI and its impact on your career.

What You'll Learn Which AI tools you should have on your radar How AI is impacting the future of data careers The best ways to keep your skills up to date as the industry evolves   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Alex Freberg, better known as Alex The Analyst started his journey as a Data Analyst 5 years ago and has come a long way since then. He is currently an Analytics Manager at a Fortune 10 company and uses his platform to help people build skills to launch and accelerate their careers in data.  Check out Alex's YouTube channel for free resources and Analyst Builder for his full learning platform.    Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter  

Alex Freberg, aka Alex The Analyst, chats with me about playing the long game with content, empathizing with his audience, how he grew a massive YouTube following, his new Analyst Builder courses, and much more.

YouTube: https://www.youtube.com/@AlexTheAnalyst

LinkedIn: https://www.linkedin.com/in/alex-freberg/

Analyst Builder: https://www.analystbuilder.com/

CryptoMonday on Tuesday in the Hamptons Powered by CryptoOracle Collective Presented by NFT Vip Tuesday Jan 27th 4:30 - 6:30 Location Southampton Publick House: 62 Jobs Ln, Southampton, NY 11968

RSVP for FREE Entry, Cocktails & Bites

You'll receive an immersive collectible that unlocks a digital gift bag for our curiosity seeker events.

The Crypto AI Revolution Moderated by Lou Kerner & Co-Hosted by Julie Lamb Speakers: Alessandro Patti & Max Smotritskiy

This is a unique opportunity to gain insights and inspiration from some of the brightest minds in the industry. Whether you're a seasoned crypto aficionado or starting your journey , this event will offer valuable knowledge and networking opportunities.

Moderator: Lou Kerner Focused on crypto 24/7 since seeing the crypto light on June 29, 2017. Partner at Blockchain Coinvestors, a crypto fund-of-funds and CEO of Blockchain Coinvestors Acquisition Corp., a SPAC focused on merging with a rapidly growing crypto company. We also do 30+ one off crypto investments a year. Builds crypto communities, including CryptoMondays, the largest crypto Meetup group in the world. Active crypto blogger via Medium, now as part of Quantum Economics.

Co-Host: Julie Lamb Founder & CEO of NFT VIP President EventXposure Event Organizer for CryptoOracle Collective Problem Solver * Storyteller * Connector * Digital Content Creator Marketing Geek * NFT collector & reluctant flipper. Successful collaborations with iHome, Disney, KidDesigns, Hasbro, CES, Michael Todd Beauty, Crown Goose USA, Art Basel, Brunello Cucinelli, Les Copains, Arlyn Studios, SXSW, Gibson, Oticon, CNBC,HBO and many more.

Speaker: Alessandro Patti Futurist Advisor \| IT Veteran \| Web3 Pioneer \| Tokenomics Expert \| Cloud & Crypto Mining Infrastructure Leader \| Serial Entrepreneur \| Business Transformer. Alessandro (Alex) Patti is a serial entrepreneur\, forward-thinking technologist\, global IT strategist\, systems architect\, and pioneer in the blockchain infrastructure and Web3 sectors. Calling upon decades of experience in the intersection of both the hardware and software sides of global tech rollout\, productization and systems deployments\, Alex is unique in his ability to recognize\, predict and rapidly execute on market trends. Alex is most passionate about pioneering the decentralized revolution including Web2- Web3 transformations\, interoperable wallet development (including both custodial and non-custodial solutions)\, Decentralized finance\, tokenomics and design\, GameFi\, SocialFi\, DAO/NFT platform implementation. Alex believes that creating new lines of business for small\, mid-size and enterprise level companies across the cryptocurrency\, finance\, security\, telecom\, pharma\, transportation\, manufacturing\, agriculture and marketing sectors can help revolutionize and democratize the world.

Speaker: Max Smotritskiy Founding Partner CryptoOracle Collective Professional poker player turned forecasting analyst turned Web3 strategist. Growing with the space while providing community oriented advisory and education. Excited to give those that want to work in Crypto, the opportunity to do so, and also provide expert advisory services to fledgling companies through the Collective.

Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. People, places, things, sites, and doodads mentioned in this episode were many, and they include: R, Tableau, Snowplow, adjust, Datalicious, Moe's post on Analysis of Competing Hypotheses, Moe's post on getting started in digital analytics, Jeffalytics.com, RSiteCatalyst, The Millenial Whoop, Kabaddi, Michael Yates, ABC (the Australian Broadcasting Corporation), an Event Tracking Naming Strategy from Chris Le, Simo Ahava, Nico Miceli, and Towards Universal Event Analytics - Building an Event Grammar by Snowplow co-founder Alex Dean.