Anastasia Piliuk

• Developed and monitored product metrics (ARPU, LTV, Retention Rate, Conversion Rate) across credit products. • Analyzed traffic sources and user cohorts, identifying optimization opportunities that led to a 15% uplift in conversion. • Collaborated with cross-functional teams (product, marketing, development). • Designed and implemented BI dashboards (Apache Superset, Tableau) to monitor KPIs for credit products. • Built SQL and Python forecasting models. • Built new dbt-based data marts.

• Conducted quantitative research (econometrics, spatial analysis) using STATA, Python, R, processing datasets of 1M+ observations. • Authored and co-authored 2 academic papers and 3 conference presentations in economic research. • Led data cleaning and visualization for socio-economic studies, improving data quality.

• Developed algorithms for processing geospatial data to optimize courier routing. • Analyzed and filtered outliers and missing values in large-scale geodata sets. • Used Python for data analysis, visualization, and route optimization modeling.

• Built Qlik Sense dashboards to support management decision-making. • Cleaned and maintained CRM data for accuracy, reducing duplicate entries by 30%. • Analyzed shipment data and optimized workflows based on trends and seasonality.