Yaqian Zhang
Manager - Forensic Technology Services at Alvarez & Marsal
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolYaqian Zhang is a forensic technology manager with 9 years of cross-disciplinary experience blending data science, supply chain analytics, and eDiscovery. Holding dual MS degrees in Supply Chain & Logistics and Business Analytics, she leverages Python, R, SQL and tools like Relativity and Nuix to turn large, messy datasets into defensible insights for investigations and litigation. She progressed rapidly from technical project roles into leadership at Alvarez & Marsal and Epiq, managing teams and complex eDiscovery projects across APAC. Earlier roles in supply chain and marketing analytics show a strong track record of process redesign, revenue impact, and operational rigor—e.g., leading web-based inventory and logistics workflows for thousands of SKUs. Known for clear communication and fast execution, she also teaches data and AI courses, signaling a knack for translating technical concepts to nontechnical stakeholders. Based in Shenzhen, she combines forensic tech proficiency with practical supply-chain fluency to solve high-stakes data problems.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Analysis and Functional Analysis, GPA 3.94, Master of Science - MS, Analysis and Functional Analysis, GPA 3.94 at University of Maryland - Robert H. Smith School of BusinessMaster of Science - MS, Logistics, Materials, and Supply Chain Management, Master of Science - MS, Logistics, Materials, and Supply Chain Management at Nanyang Technological UniversityBachelor of Engineering - BE, Materials Engineering, Bachelor of Engineering - BE, Materials Engineering at Shandong University
Chinese, English
Github Skills (2)
tensorflow1
deep-learning1
Programming languages (1)
Github contributions (5)
YaqianZhang/yaqianzhang.github.io
Mar 2018 - Jul 2019
Contributions:253 pushes, 1 branch, 1 comment in 1 year 4 months
YaqianZhang/online-continual-learning
Jun 2021 - Oct 2022
A collection of online continual learning paper implementations for computer vision in PyTorch.
Contributions:13 pushes, 3 branches in 1 year 4 months
pytorchimplementationsvisiondeep-learningcontinual-learning
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