• Risk Management: detect fraud, keep track of trading activity, adjust platform parameters• Automation: integrate Python scripts, Windows tools, SQL queries, procedures and jobs to generate statistical data• Data Systems: maintain a small SQL Server database containing statistical data, non-production additional internal information and data used for ML projects• Design and maintain an ETL process (written in Python) uploading data daily/hourly from different sources (SQL, Mongo, API) to a data warehouse• Campaign Analysis: provide statistical analysis and recommendations on efficiency of existing campaigns aimed at improving user experience• Reporting: check reports for consistency and analyze the numbers for detection of potential issues

Research assistant for Prof. Robert Sherman.I helped investigating finite sample properties of Random Coefficients Model estimators using Monte Carlo simulationsTeaching assistant for Political Science 012 by Prof. Peter Ordeshook.Among other duties, I was designing and holding weekly recitation sessions, in which I presented and discussed the current material with the students.