Summary
Mya Aye is a quantitative financial analyst with 8 years of experience blending data science and banking domain expertise to fight financial crime through modeling and analytics. She holds an M.S. in Data Science and an MBA, and is fluent in Python, R, SQL, Tableau and Power BI—skills she has applied to AML/BSA tuning, large-scale ETL, and KPI-driven dashboarding at global banks and financial services firms. Her background spans end-to-end solutions from statistical optimization of operational problems to designing and validating risk models, bringing both analytical rigor and regulatory sensitivity. A former data scientist in agribusiness and an early-career trade finance analyst, she combines practical business intuition with technical depth to turn prototypes into production-ready tools. Based in the Chicago area, she enjoys generating and iterating on prototypes—an approach reflected in her hands-on engineering style and cross-functional collaboration.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Texas Tech University
Master of Business Administration - MBA, Banking and Insurance, Master of Business Administration - MBA, Banking and Insurance at University of Dhaka
Bengali, Bengali, Burmese