Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

* Developed LTV methodology for Kyivstar retail branch
* Delivered PySpark based unsupervised card fraud detection model to production for a Ukrainian bank
* My day to day supervision of financial models in Kyivstar resulted in multiple product changes, go/no go decisions, saving millions of $ 
* Top places in ML competitions:
- solo 2% of 10k teams, demand prediction for a retail company
- solo 7% of  3k teams, API based English test answer prediction
2 years in ML, 5 years in data analysis

Experienced in:
* Shallow machine learning, feature engineering
* Working with large datasets
* Churn, ARPU, LTV, uplift modeling, anomaly detection, time series
* Profitability, pre/post-launch analysis
* Data visualization, creating CXO level presentations
* Understanding of business needs, finance theory
* Machine learning on structured data
* Building robust interpretable models, working with complex causal effects, data-driven pricing strategies, customer analysis