Andrew Suh

Built ML models and optimization systems for workforce planning, revenue forecasting, and B2B account segmentation across 45k+ accounts. Developed demand forecasting pipelines and staffing models that reduced costs and improved resource allocation. Drove measurable impact through clustering, linear programming, and time-series methods.

Led data-driven product strategy and market analysis for a consumer packaged goods company. Conducted competitor benchmarking, cost modeling, and consumer sentiment analysis to inform new product launches. Work contributed to double-digit lifts in sales, market share, and revenue.

Built ML-driven financial tools including a portfolio recommendation engine, spending pattern detection, and a robo-advisor feature. Applied clustering and numerical modeling to transaction data to classify spending patterns. Work improved client risk management satisfaction and increased average investment allocation.