Hang Zhang
Bellevue,WA
Summary
Successfully developing and deploying E2E AI on-prem or cloud solutions into the production systems of customers, which have achieved billions of USD business impact to both Microsoft and enterprise customers. Tremendous amount of hands-on and management experience and deep insights in the following areas: Artificial Intelligence on Cloud and Edge, Data Science, Machine Learning, and GenAI, Best Practices in Data Science (Data, Experimentation, Training, and Evaluation), Best Practices in Software Engineering (MLOps/LLMOps, CI/CD Process), Develop Roadmap and Implementation Strategy Based on Business Requirements of Customers.
Industry Expertise: Retail and Consumer Goods, Intelligent Manufacturing.
Social Recognition: Visiting Professor of Data Science, University of Washington, Chair of KDD Cup 2019, Senior Member of IEEE.
Overview
17
17
years of professional experience
Work History
Principal Data & Applied Scientist Group Manager
Microsoft
07.2024 - Current
- Manage Microsoft Industrial Solutions Engineering (ISE) Data Science teams (10+ data scientists) for RCG industry (
- Develop the AI strategy for Microsoft ISE RCG industry
- Partner with enterprise customers on developing and implementing AI roadmaps which brings significant ROI for enterprise customers
- Define AI solutions to tackle customer’s most urgent and impactful business challenges
- Bring multiple AI design wins to Microsoft via deep engagement with customers.
Principal Data & Applied Scientist Manager
Microsoft
07.2020 - 06.2024
- Lead Microsoft Industrial Solutions Engineering Data & Applied Science team for RCG industry
- Brought broad and deep impacts on multiple strategic retail partners
- Build GenAI (LLM, OpenAI) applications for enterprise partners in RCG industry
- Lead MLOps and machine learning work in complex delivery for strategic partner in Retail/CPG industry, finance forecasting application. Won 650M USD Azure deal for Microsoft.
- Forecast longer and more accurate than human forecasters
- Developed supply chain optimal sourcing solution (graph database) for strategic retail partner
- Developed and deploy recommendation systems (ALS/SAR+/NCF) for convenience store chains.
Principal Data & Applied Scientist
Microsoft
09.2018 - 06.2020
- Large scale weekly demand forecasting with deep learning models for RCG partners at the granularity of stores and SKUs, which boosted 5 times more than expected sales lift (> 2B USD revenue increase). Won deal of 130M USD Azure deal for Microsoft.
- IoT big data stream analytics and predictive modeling using PySpark
- Developed computer vision based defect detection system and deployed it on edge computing.
Senior Data & Applied Scientist
Microsoft
04.2017 - 08.2018
- Implement deep learning / transfer learning and computer vision techniques on image classification using TensorFlow and CNTK to address challenging client problems, winning against IBM, Amazon, and Google. Won a 120M USD Azure deal for Microsoft.
- Developed large scale energy consumption forecasting system for one of the largest retailers in Canada.
Senior Data Scientist Manager
Microsoft
05.2014 - 03.2017
- Led product team to develop product Team Data Science Process
- Chief data scientist for product Cortana Intelligence Competition Platform
- Built online content recommendation system for e-commerce company
- Time series forecasting for Microsoft finance, customer churn, recommendation systems
- Delivered Scalable Data Science in R on Spark tutorial in KDD 2016, KDD2017, and Strata 2017.
Staff Data Scientist
WalmartLabs
03.2013 - 05.2014
- Built internal business intelligent / Product Evaluation products by leading team with 10 members for assortment optimization and search relevance algorithms improvement
- Designed and Built internal products (dashboards) for demand interpretation, prediction and optimization
- Assortment evaluation and business opportunities recommendation
- Analyzed and built models on tens of millions of query and transaction records on Walmart.com
- Customer intent clustering, classification, and categorization
- Built search relevance evaluation dashboard
- Business diagnosis for traffic, conversion, and assortment.
Senior Scientist of Research and Development Department
Opera Solutions LLC
03.2011 - 03.2013
- Leader of teams with 20 members participating machine learning competitions with outstanding track records: 2nd in KDDCup2012, 5th in Heritage Health Prize (>1600 teams)
- Predicting length of hospitalization in Heritage Health Prize Competition (Ranked 5th)
- Predicting online search advertisements click through rate (CTR) in KDDCup2012
- (Ranked 2nd)
- Building recommendation system for Yahoo! Music in KDDCup2011 (Ranked 7th).
Postdoctoral Researcher
Arizona State University
08.2007 - 03.2011
- Built principal component regression model to predict lower limb muscular activities using motor cortex neural spike signals (R2 > 85%)
- Evaluated the stroke patient rehabilitation efficiency after training with robotic arms in pre-clinical trials
- Model the neural reorganization after spinal cord injury in non-human primate animals.
Education
Ph.D - Industrial and Systems Engineering
Rutgers University
New Brunswick, NJ01.2007
M.S. - Statistics
Rutgers University
New Brunswick, NJ01.2007
Bachelor of Science - Automation
Tsinghua University
Beijing, China01.1999
Skills
- Machine Learning, GenAI
- Design Thinking
- Customer Obsession
- Problem-Solving
- Attention to Detail
Awards
- Best Model Award in Give Me Some Credit competition (Finance Industry), Opera Solutions, 2011
- Best Paper Award, ICME International Conference on Complex Medical Engineering, 2009
- Best Application Paper Award, IIE Transactions on Quality and Reliability, 2009
Timeline
Principal Data & Applied Scientist Group Manager
Microsoft
07.2024 - Current
Principal Data & Applied Scientist Manager
Microsoft
07.2020 - 06.2024
Principal Data & Applied Scientist
Microsoft
09.2018 - 06.2020
Senior Data & Applied Scientist
Microsoft
04.2017 - 08.2018
Senior Data Scientist Manager
Microsoft
05.2014 - 03.2017
Staff Data Scientist
WalmartLabs
03.2013 - 05.2014
Senior Scientist of Research and Development Department
Opera Solutions LLC
03.2011 - 03.2013
Postdoctoral Researcher
Arizona State University
08.2007 - 03.2011
M.S. - Statistics
Rutgers University
Ph.D - Industrial and Systems Engineering
Rutgers University
Bachelor of Science - Automation
Tsinghua University
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