Summary
Stacey Schwarcz is a data scientist and strategist with 11 years of experience translating messy operational data into actionable insights for clients across professional services, financial services, and transportation. As Founder and CEO of Ariel Analytics she helps organizations build cost-effective data strategies and analytics capabilities, drawing on prior leadership roles such as Head of People Analytics at BNY Mellon and operations planning across major transit agencies. Her background blends hands-on technical skills (Python, R, SQL, Tableau) with deep operational fluency from roles at Metro-North and NYC Transit, so she understands both the technical and stakeholder challenges of data projects. Stacey is particularly skilled at convening cross-functional teams to solve entrenched process problems and improve workforce and planning outcomes. She holds advanced degrees from MIT and CUNY in transportation engineering and data analytics, respectively, pairing rigorous academic training with practical implementation experience. Uncommonly for a consultant, she combines front-line client empathy from public transit operations with enterprise analytics leadership, enabling pragmatic, high-impact solutions.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.) Transportation Engineering, Master of Science (M.S.) Transportation Engineering at Massachusetts Institute of Technology
Master of Science (M.S.) Data Analytics / Data Science, Master of Science (M.S.) Data Analytics / Data Science at The City University of New York
Bachelor's Degree Mathematics, Bachelor's Degree Mathematics at Brooklyn College