Ali Movahedi

Senior Data Scientist

Chicago, Illinois, United States
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Summary

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Senior
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Top School
Ali Movahedi is a Senior Data Scientist in Chicago at Parts Town, driving R&D in Gen AI, NLP, and large language models to fuel growth and innovation. He blends a rigorous mathematical foundation with a PhD in Complex Urban Networks and an MA in Economics from the University of Illinois Chicago, plus a Civil Engineering background from Sharif University, giving him a broad, quantitative lens on complex systems. In academia and industry, he built hundreds of ML/DL models, including 250+ LSTM forecasts for energy consumption in Chicago, and used XGBoost with SHAP to analyze interrelations among electricity, gas, and water usage in NYC buildings. Notably, his XGBoost model for accident detection achieved 99% accuracy and a 0.16% false-alarm rate, demonstrating a track record of high-impact, dependable insights. With Django web development experience, he bridges model development and production-grade applications, delivering scalable AI solutions at the intersection of research and real-world product.
code4 years of coding experience
job9 years of employment as a software developer
bookMathematics and Physics Diploma, Mathematics and Physics Diploma at National Organization for Development of Exceptional Talents (Sampad)
bookDoctor of Philosophy - PhD Complex Urban Networks, Doctor of Philosophy - PhD Complex Urban Networks at University of Illinois at Chicago - Graduate College
bookBachelor of Science - BS, Civil Engineering, Bachelor of Science - BS, Civil Engineering at Sharif University of Technology
languagesEnglish, Persian

Github contributions (5)

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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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Ali Movahedi - Senior Data Scientist