I’ve been working in “marketing analytics” since 2007:
- 2007-2009: Statistician (now it’s called Data Scientist) at a database marketing company. I worked with SAS to do two types of projects: (1) data wrangling (back then we called it: cleaning, processing and transforming) on big datasets (up to 300MM observations) that were used as my company’s data products; (2) predict consumer responses, classify/segment customers etc. to help improve our clients’ direct mail performance.
- 2009-present (with intermission, see below): various consulting companies with my primary focus in marketing mix modeling. I used SPSS for the most part to build lots of multiple regressions. But in this line of business visualization and communication of results are key, and I used Excel/Powerpoint extensively for that.
- 2012-2013: took a break from marketing mix modeling and worked at a digital agency in their consumer insights group. That’s were I learned a lot about digital media, campaign management and analysis. I used SQL to play with cookie-level data and do some cool deep dive analyses.
- Bachelor’s and Master’s degrees in Economics from Kyiv Mohyla Academy
- Master’s in Marketing Analytics from Bentley University
- Coursera Data Science Specialization (using R): currently done with 7 out of 10 courses
- MITx 6.001x Introduction to Computer Science and Programming Using Python (finished)
- MITx 6.002x Introduction to Computational Thinking and Data Science (currently taking)
- R for Data Science (book): slowly going through it to learn tidyverse