Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

Once I was loosing a tournament tennis match 0:6, 1:5, 15:45 and somehow managed to turn it around - 0:6, 7:5, 6:0.
(Former professional tennis player)
Things I do (data science):
Spatial Data models for retail industry.
Models for marketing communications (e.g., feature engineering from text/image + prediction model).
ETL, robust pipelines, automated reporting etc.
Communication of the project/results to customers and internally.
Tech: R, Python, Docker, s3, Parquet, git.

Things I do (research, marketing science):
Network models, Consumer behavior, Bibliometric analysis, Science of Science, Scientometrics.
I love my current data science position a lot, as we have crazy good team and a great opportunity to develop different skills. I was doing a PhD and full data science position simultaneously, and now PhD is done. So, I am open to fill some time with more interesting work.