Elena Lyubarskaya

• Developed a predictive machine learning model for financial time series analysis and forecasting to support investment decisions. • Applied natural language processing (NLP) techniques to analyze and classify customer feedback by topic. • Designed the hypothesis and conducted A/B testing for a social network ad campaign, analyzed the test results and made recommendations for improving customer retention.

• Performed exploratory and statistical analysis to identify patterns and trends in customer data, extracting and transforming large amounts of data from different sources. • Supported the development of personalized marketing strategies through customer segmentation analysis, increasing campaign effectiveness and customer satisfaction. • Created interactive dashboards using Power BI to monitor key business metrics, presented research findings, and provided recommendations for business process improvements.

• Interned for a boutique Management Consulting company during the summer break while studying towards undergraduate. • Analyzed correlation of wheat futures with the underlying commodity prices and identified upside potential. • Constructed and updated daily Microsoft Excel charts illustrating trends and made ad-hoc reports that aided in investment analysis and ability to discover and track trends.