Data Scientist with experience working with behavioural and financial data in marketing, non-profit sector, and academia.

Skills: Python (pandas, numpy, sklearn, xgboost, seaborn, beautifulsoup, selenium, scrapy, pytorch, transformers, spacy, nltk), R (tidyverse, data.table, sf, igraph), SQL, Spark, MongoDB, Docker, AWS, Tableau

Here you can find my talks, and data science competitions in which I participated.