Ahmadreza Hamzei

Data Scientist

Tehran, Iran
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Summary

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Ahmadreza Hamzei is a data scientist and technical lead with six years of experience applying machine learning and quantitative techniques to asset management and high-frequency crypto trading. A Sharif University of Technology computer engineering graduate, he blends classical time-series methods (ARIMA, GARCH) with modern deep learning (LSTMs, Transformers) to build interpretable, production-ready models that manage multimillion-dollar portfolios. He has led teams at Mofid Asset Management, shipping products like a robo-advisor and an enhanced equally weighted index fund, and has hands-on experience building low-latency trading systems using C/C++, PostgreSQL, and ClickHouse. Known for bridging research and engineering, he focuses on robustness, data integrity, and long-term strategic direction while continuously exploring reinforcement learning, systems, and robotics.
code6 years of coding experience
job4 years of employment as a software developer
bookDiploma of Education, Mathematics, Diploma of Education, Mathematics at Alborz Highschool
bookBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Sharif University of Technology
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Github Skills (4)

artificial-intelligence10
machine-learning9
ai9
android5

Programming languages (2)

JavaJupyter Notebook

Github contributions (5)

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AdvProg2020/Project_team-46

Apr 2020 - Jul 2020

Project_team-46 created by GitHub Classroom
Contributions:1 PR, 89 pushes, 1 branch in 3 months
reactteam-projectgithub-classroomcssjavascript
madeinlobby/ashpazkhoneh

Sep 2020 - Sep 2020

Contributions:24 pushes in 23 days
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