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Xinchen Hu

Majored in Analytics
Georgia Institute of Technology, Class of 2025
From Shenzhen, China
My career journey has been shaped by a passion for creating meaningful impact through innovation, collaboration, and a commitment to sustainable development. I am committed to using my skills and experiences to contribute to a more sustainable and equitable world.
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Georgia Institute of Technology
Nankai University

Xinchen Hu Receives Degree From Georgia Tech

Xinchen Hu of Shenzhen, China, has earned a Master of Science in Analytics from the Georgia Institute of Technology in Atlanta. Hu was among approximately 2,000 undergraduate and graduate student...

October, 10 2025 - Verified by Georgia Institute of Technology
Xinchen Hu was recognized for earning an academic award
First Prize for Best Research Poster at IEOM international conference.
Fall 2024 - Added by Xinchen
Xinchen Hu was recognized for earning an academic award
the National Bronze Prize in the 9th "Challenge Cup" National Undergraduate Extracurricular Academic Science and Technology Work Competition (2014).
Fall 2014 - Added by Xinchen
Enagement Intern at Crossroads Foundation

- Implemented a data reconciliation system across departments to resolve allocation discrepancies, improving accuracy in goods distribution.
- Represented organization at RETHINK Sustainable Business Forum; identified 3 partnership opportunities and connected with 10+ CSR representatives.
- Analyzed CSR strategies of potential partners; generated 10+ qualified leads and maintained CRM pipeline, achieving 100% conversion to active follow-ups.

June 2025 - Present
General Manager at Biden Consulting Ltd

Co-founded and scaled a platform that served as a bridge, not only providing students with international career exposure but also helping companies build a talent pipeline through strategic partnerships and tailored programs.

July 2015 - August 2023
Donation Allocation in Humanitarian Operations: A Study on Efficiency Loss, Supply-Demand Mismatch, and Staged Decision-Making
Built optimization models for disaster relief logistics; conducted scenario analysis and robustness tests using demand, inventory, and transit-time data to improve efficiency and fairness in aid distribution.
August 2025 - Research Projects
Resume

Graduation

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