Khazar Huseynov

Summer Internship

– Conducted market and economic research on the impact of the 2026 FIFA World Cup across major U.S. host cities – Analyzed business, real estate, infrastructure, and mobility opportunities linked to large-scale global sporting events – Contributed to data-driven insights on urban investment, sustainability, and long-term community impact

– Aggregated and cleaned multi-source financial datasets (bank statements, invoices, POS exports) exceeding 500K transaction records using SQL and R, standardizing data pipelines for cash flow analysis – Built and optimized SQL queries for cross-entity cash flow tracking, reducing manual reconciliation time by 65% – Conducted statistical and time-series analyses in R to identify liquidity bottlenecks and seasonal cash flow trends across 2 national commercial banks – Developed preliminary cash management efficiency models, providing data-backed recommendations that informed financial process improvements for client institutions

– Processed and analyzed 4+ enterprise-scale datasets using Python (pandas, scikit-learn) and R, developing predictive models to forecast key financial indicators – Engineered automated data validation and cleaning pipelines, improving dataset accuracy by 15% and standardizing inputs across multiple business process management systems – Applied data mining and feature extraction techniques under the guidance of senior analysts, gaining hands-on experience with end-to-end analytics workflows

Organised a chess & soccer-combining tournament between schools in Azerbaijan (300+ people); ran the social media account; hired admins and media team; raised over $2000

Full Scholarship Recipient Concentration: Applied Mathematics and Modeling

Valedictorian IB 40/45