- created Python library for interaction with multiple data sources, which is used by analytics department - automatic reports and data uploading into Google Spreadsheet with Python - implemented system for user segment evaluation during global users migration from the old platform to the new one - predicted next year MAU and turnover KPIs - implemented fraud detection algorithms and prepared statistical evidence for trials - achieved all necessary corporate access rights to launch AWS instance for analytics department needs - implemented Tableau reports: * report for estimation of multiple factors impact on verification * Sankey diagram for user segments transitions * reports on requests of other departments (from scratch or using their prototypes)

1. Process mining. Exploration of users activity by event logs in apps. - data manipulations with ClickHouse, pandas, numpy, scipy - search for dependencies between actions of users and target events using scikit-learn, nltk (TF-IDF, t-SNE, RandomForest, clustering, Gaussian Mixtures) - during research on in-game level proposal algorithm convinced managers to implement another algorithm, which consistently improved first day retention by +15% and enhanced data quality 2. Development of analytical tools - daily report on anomalies for user aquisition department using IsolationForest, Gaussian Mixtures, SHAP values and cron - deployed plotly dashboard with custom metrics - cohorts retention prediction with CNN using tensorflow 2 3. Users activity simulation - simulated users activity using Monte Carlo methods to estimate parameters of users content rating formula, which helped to find reasonable parameters in several iterations

In Yandex.Drive: - developed scoring model for driving style by telematics data; - tariff price optimization.

Various jobs requiring Python & SQL skills, most frequently data scrapping from the Internet or tabular data processing and analysis.

- created scorecards for banks (HomeCredit, Uralsib, MigCredit); - built system for semi-automatic scorecard creation with Python; - built data converter from tabular data into credit history format and vice versa; - analyzed credit portfolio data with T-SQL.

- was responsible for dashboards of three credit portfolios in Tableau; - performed analysis of collection, verification and lifetime of debts using MySQL. On my own initiative: - optimized queries and brought visual order into dashboards; - arranged knowledge exchange between analysts of different portfolios.

- performed deposit portfolio analysis; - formulated partial withdrawal algorithm for multicurrency deposits; - made deposit portfolio reports.

MSc, Department of Innovation and Higher Technologies, Management of technological projects

BSc, Department of Radio Engineering and Cybernetics, Information technologies

HSE (Coursera)

HSE + Yandex (Coursera)

Stanford University (Coursera)

Wharton University of Pennsylvania (Coursera)