Experience

Designed and implemented two PowerBI dashboards tracking 10–20+ KPIs, now actively used by senior leadership in Operations and Financial Services to monitor performance and inform decision-making.

Spearheaded an intern-led revamp of the private market client onboarding process, reducing implementation timelines by 6 months; presented recommendations to 60+ senior managers, leading to approval and development.

Conducted daily wire reconciliations for a hedge fund client managing $100M+ AUM across 50+ funds, while proposing system enhancements and documenting procedures to streamline operations.

Authored 20+ new hire training guides and system documentation, ensuring accurate reconciliation processes and long-term knowledge transfer.

Collaborated cross-functionally with Investor Relations, Treasury, Implementations, Client Onboarding, and Sales to gain holistic exposure and propose efficiency and data-sharing improvements.

Evaluated 10+ business plans per week, building and applying financial models to provide actionable recommendations that strengthened operations, profitability, and expansion strategies while mitigating risks.

Leveraged Python and Excel to design market research models and generate financial forecasts, enabling clients to make data-driven investment and operational planning decisions.

Advised 5 clients per week on prevailing economic conditions (e.g., inflation, interest rates, labor trends), equipping them with insights to improve financial planning and resilience.

Conducted customized business development research to address client questions on market entry, capital allocation, and operational efficiency.

Partnered with entrepreneurs and small business owners to deliver strategic, model-driven guidance that enhanced long-term financial sustainability and growth potential.

Conduct in-depth research on socioeconomic influences on adolescent development in developing nations, assessing their effects on national health outcomes and productivity.

Standardized identifiers across 10+ datasets, merging thousands of records into a unified database and cleansing incomplete observations/outliers in Stata to improve accuracy and reliability.

Applied advanced statistical methods in Python and Stata (e.g., regression, correlation, trend analysis) to uncover key drivers of adolescent health and educational outcomes.

Managed and transformed datasets with 2,000+ variables, optimizing structures for more efficient analysis and cross-country comparisons.

Produced data visualizations and actionable insights to support research objectives, with implications for policy recommendations on youth development and public health.

Oversaw registration and directed 600+ attendees at the annual conferences, serving as a primary student liaison ensuring smooth check-in and assisting guest speakers with technical and logistical needs.

Manage ongoing membership registration, email inquiries, payment processing, and paper submissions for the annual conference.

Engaged with senior and award-winning Economists and Professors from around the world to discuss current research and economic issues.

Provide continuous administrative and communications support to facilitate planning for upcoming conferences.

Led weekly tutoring sessions for roughly 20 students, breaking down advanced topics in Macroeconomics, Data Analysis, and Management Statistics into clear, practical examples.

Designed custom practice tests and problem sets to help students apply statistical theories, conduct hypothesis testing, and interpret results.

Trained students to leverage Microsoft Excel functions (e.g., regression, pivot tables, and statistical formulas) for data-driven decision-making and exam preparation.

Supported students with homework, projects, and study strategies, fostering long-term growth in analytical and quantitative skills.