Position: Data Scientist, Data Engineer
Category: Data Science
English level: intermediate
Years of experience: 11


For the last year, I've been working in the R&D department of a Ukrainian retail company as a Data Scientist.
Before that - two years as a freelancer Data Analyst / Data Scientist via Upwork. Earlier - 8 years in scoring models' development, risk management, and banking analytics.
My main tools are Python and SQL, used to work with R. 

My last projects:
- an auto-replenishment algorithm, with a short-term sales forecast for supermarkets. Python, Jupyter Notebook, Time Series Forecast, MS SQL Server, Azure DevOps;
- KPI metrics for employees and supermarkets. Power BI, MS SQL Server;
- customer journey analysis, marketing attribution models. BigQuery, Python, SQL, DBT, BitBucket, Hubspot;
- ad-hoc analysis and dashboards on retention, conversion, sales, customer structure, helpdesk, and email campaigns, designing experiments in prices, discounts, and free products, developing mix marketing, attribution, and customer churn prediction models. Python, BigQuery, Google AutoML, Periscope / Sisense, R, Zendesk, Fullstory, Mixpanel, Shopify, Stripe, Blendo, Xero.