Milad Doostan
Staff Data Scientist
Charlotte, North Carolina, United States
Summary
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Senior🎓
Top SchoolMilad Doostan is a Staff Data Scientist in Charlotte with nearly a decade of experience turning complex causal inference, experimentation, and machine learning techniques into actionable marketing and ads measurement products. At Pinterest he built measurement frameworks, proxy metrics, and tree-based models that directly influenced product and engineering roadmaps and monetization decisions. His background in electrical and computer engineering (PhD) and prior energy-focused research gives him a strong foundation in time-series forecasting, anomaly detection, and handling highly imbalanced datasets. He routinely combines classical statistics (ARIMA, ANOVA, synthetic control) with modern ML (RF, XGBoost, neural nets) to improve experiment quality and forecasting accuracy. Known as a pragmatic mentor and collaborator, he has scaled best practices across teams and coached junior data scientists and engineers. Outside ads measurement, he has produced production-ready tooling and dashboards that surface advertiser behavior and measurement quality issues, revealing operational insights not obvious from raw metrics alone.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at University of North Carolina at CharlotteBachelor’s Degree, Electrical and Computer Engineering, Bachelor’s Degree, Electrical and Computer Engineering at University of Tehran
English, PersianGithub contributions (5)
miladdoostan/Uber-Search-Time-Series-Forecasting
Nov 2018 - Nov 2018
Contributions:128 commits, 113 pushes, 1 branch in 10 days
miladdoostan/ML-in-R
Nov 2018 - Nov 2018
Contributions:34 pushes in 1 day
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