Summary
Selin Erguncu is a senior data scientist in San Francisco with a decade of experience applying rigorous quantitative methods to product and user-experience problems, currently shaping Apple Maps. She blends academic depth—PhD in Quantitative Marketing and a USC postdoc—with hands-on production work at Microsoft and startups, delivering experiments, statistical models, and performant data pipelines. Selin emphasizes reproducible, well-documented systems and balances theoretical foundations with pragmatic engineering to make analyses actionable. Her background in industrial engineering and academic research means she often brings fresh, cross-disciplinary perspectives—like indexing market phenomena or decoding reviewer influence—to product analytics.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Quantitative Marketing, Doctor of Philosophy - PhD, Quantitative Marketing at Koc University
Exchange Student, Industrial Engineering, Exchange Student, Industrial Engineering at Università degli Studi di Trento
Postdoc, Marketing Science, Postdoc, Marketing Science at University of Southern California
Visiting Scholar, Marketing Science, Visiting Scholar, Marketing Science at University of California, Los Angeles
Bachelor of Science (BS), Industrial Engineering, Bachelor of Science (BS), Industrial Engineering at Istanbul Technical University
Turkish, English, Italian