Ali Movahedi
Senior Data Scientist
Chicago, Illinois, United States
Summary
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Senior🎓
Top SchoolAli Movahedi is a Senior Data Scientist in Chicago with a PhD in Complex Urban Networks and a decade-long track record of turning academic deep‑learning research into production ML and GenAI solutions. He has built and deployed hundreds of models—from LSTM ensembles forecasting building energy use to XGBoost and SHAP-driven consumer behavior analyses—and now leads R&D and NLP/LLM initiatives at Parts Town focused on growth and innovation. Prior roles at Enova and UIC emphasize end-to-end model development, stakeholder collaboration, and measurable business impact, including dramatically improved optimization in marketing mix models. His background in urban systems and agent‑based simulation gives him a unique ability to connect socioeconomic context with scalable ML engineering.
4 years of coding experience
9 years of employment as a software developer
Mathematics and Physics Diploma, Mathematics and Physics Diploma at National Organization for Development of Exceptional Talents (Sampad)Doctor of Philosophy - PhD Complex Urban Networks, Doctor of Philosophy - PhD Complex Urban Networks at University of Illinois at Chicago - Graduate CollegeMaster of Science - MS Construction Management, Master of Science - MS Construction Management at Sharif University of Technology
English, PersianGithub contributions (5)
Github-Django/Blog-Django
Jun 2022 - Jun 2022
Contributions:8 commits, 6 pushes, 1 branch in 1 day
alimovahedii/Estate-Django
Nov 2021 - Jul 2022
Contributions:1 push, 1 branch in 8 months
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