Kevin Tan Email & Phone Number

Philadelphia, PA, US

United States

Developed various AI products for the company, including but not limited to a text-audio search engine powered by deep learning, a similar search engine for 3D textures, jersey number recognition, face clustering and facial recognition, an AI model that generates asset descriptions from a small set of tags, various statistical classifiers.

San Francisco Bay Area, Remote

• Identified groups of inactive users with commonalities in their behavior with machine learning, providing insights into userbehavior and enabling the development of 16 new targeted strategies for user retention.
• Created the organization’s very first comprehensive marketing dashboard in Google Data Studio, providing insights on re-engagement, demographics, and user trends, providing clear actionable metrics for the.

• Designed and developed a prototype of the engine behind a digital multi-asset retirement and investment solution.
• Devised an algorithm to select appropriate investments for users, tailored to their individual needs. Greatly reducedprediction variance via clustering with Scikit-Learn and Tomaster, reducing unnecessary trades by 87%.
• Solved a weighted best subset problem with search heuristics inspired by the knapsack problem, achieving better resultsthan the baseline convex optimization method implemented in Gurobi with 90% fewer assets.
• Modeled insurance products and scenario analysis by reducing to a general case with 6 parameters, creating the very firstsolution that enhanced the engine to open up a new market for the product with the insurance.
• Implemented over a dozen data analytics reports within BlackRock’s Aladdin, providing performance and risk analyticswhile saving the team half an hour a week in monitoring time.

• Used random forests to identify equities that could be Shariah-compliant, achieving 80.0% classification accuracy with82.2% precision, and co-wrote a paper with their Head of Research on the results.
• Identified 7544 prime candidates (to evaluate their Shariah-compliance) for their inclusion in the fund’s Shariah-compliantglobal quantitative strategies, doubling their number of potential investment opportunities.

Singapore

Monitored accounts receivable, liaised with business partners, compiled and verified reports of 2000+ accounts receivable for monthly credit control meetings.Automated the creation of the subsidiary’s P&L statement, balance sheet, and operating expenditures and reduced report compilation time by 90%. Created a DCF model from scratch for a potential deal.

Assistant S2, worked in the intelligence cell of the 18th Divisional Air Defence Battalion.

Doctor Of Philosophy - Phd, Statistics And Data Science

Bachelor Of Science - Bs, Mathematics, Economics, Statistics And Data Science, 3.86/4.00

Activities and Societies: Vice President, Michigan Finance and Mathematics SocietyPresident, Quantitative Investment SocietyExecutive.

International Baccalaureate: 45/45