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When and how to apply causal inference as a marketing measurement method. Examples and applications. – Irina Brudaru

​Outline:

• ​Start with a problem and brainstorm how to measure.
• Say, big posters on big buildings: how to track impact?
• Causal Inference 101 minimal theory.
• Data and Demo on the Infer (low code) platform, output and interpretation

​About the speaker:

​With a lifelong passion for coding, which began at age 12, Irina built on her engineering background and earned a master’s degree focused on big data algorithms. Over the past 15 years, she's developed into a versatile data generalist and has spent a decade mentoring aspiring professionals. A former Googler, she now serves as a data “Swiss knife” specializing in Marketing Mix Modeling (MMM) and causal inference within the sexual wellness industry. Outside of data, she’s a proud “mom” to three feathered kids, a cooking enthusiast, and an avid mushroom forager in her free time.

Join our slack: https://datatalks.club/slack.html

We talked about:

Irina’s background Irina as a mentor Designing curriculum and program management at AI Guild Other things Irina taught at AI Guild Why Irina likes teaching Students’ reluctance to learn cloud Irina as a manager Cohort analysis in a nutshell How Irina started teaching formally Irina’s diversity project in the works How DataTalks.Club can attract more female students to the Zoomcamps How to get technical feedback at work Antipatterns and overrated/overhyped topics in data analytics Advice for young women who want to get into data science/engineering Finding Irina online Fundamentals for data analysts Suggestions for DataTalks.club collaborations Conclusions

Links:

LinkedIn Account: https://www.linkedin.com/in/irinabrudaru/

ML Zoomcamp: https://github.com/alexeygrigorev/mlbookcamp-code/tree/master/course-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html