• Enhanced risk-return profile using factor models and machine learning algorithms for portfolio optimization, resulting in 17% increase in portfolio returns and 13% reduction in risk exposure• Conducted market microstructure research to analyze trading patterns and liquidity dynamics, leading to the development of advanced market impact model that helped minimizing transaction costs• Spearheaded the design and maintenance of Tableau dashboards for stakeholders to trace key performance metrics, providing accessible and visualized information to improve trading strategies

• Orchestrated data-driven market expansion strategies by analyzing large datasets from mature markets in Southeast Asia and Europe, which informed the launch and growth of U.S. operations• Led the automation of key business reporting process, saving the team 15 hours of reporting each week• Conducted ad hoc analysis for content creators and merchants, leading to actionable improvements with a 21% uplift in gross merchandise revenue and 33% rise in click-through rate• Developed predictive models using machine learning techniques for customer behavior forecasting, enhancing the targeting of promotional events and securing a $2M boost in event-driven revenue

• Analyzed transaction records to identify patterns and optimize fraud detection algorithms, leading to 22% reduction in fraudulent transactions• Suggested new customer segmentation to senior management, enabling targeted marketing and personalized offering, which helped improve customer satisfaction and loyalty• Designed and built ETL data pipelines and data warehouse to improve data quality, better streamline data processing, and speed up analysis workflows