Nir Aharon

Data Analyst

Tel-Aviv, Tel-Aviv District, Israel
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Summary

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Nir Aharon is a data analyst based in Tel Aviv with six years of experience turning raw data into actionable insights that improve decisions and reduce costs. Skilled in SQL, Python, and Tableau, he specializes in clear data visualizations and pragmatic analytics for business impact, currently applying these skills at Isracard. His background includes market data analysis and a scientific foundation from a BSc in Chemistry at Tel Aviv University, which informs his analytical rigor. Beyond traditional analytics, he has hands-on ML engineering experience contributing to the BoT-SORT multi-object tracking project, adding multi-class support and improving tracking performance through integration of ReID and optical-flow methods. This blend of analytics and applied machine learning gives him a practical edge in projects that bridge data science and production systems.
code6 years of coding experience
bookBachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Tel Aviv University
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Github Skills (6)

multi-object-tracking10
computer-vision10
pytorch10
yolov710
python10
opencv9

Programming languages (1)

Jupyter Notebook

Github contributions (4)

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NirAharon/BoT-SORT

Jul 2022 - Oct 2022

BoT-SORT: Robust Associations Multi-Pedestrian Tracking
Role in this project:
userML Engineer
Contributions:1 review, 23 commits, 1 PR in 4 months
Contributions summary:Nir primarily contributed to the development and maintenance of the `BoT-SORT` multi-object tracking system. Their commits reflect a focus on integrating and improving object detection and ReID components, including updates to the demo scripts and integration of the fast-reid library. They also implemented multi-class support and enhanced the tracking performance by incorporating a CMC-based sparse optical flow method and minor fixes.
pytorchtracking-by-detectionpedestrianpedestrian-trackingbot
Contributions:27 pushes, 1 branch in 1 day
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Nir Aharon - Data Analyst