Zhehui Zhong

Passionate about using predictive modelling, business analytics, and data science to drive customer insights and organizational decision-making.

Professional experience in a wide range of industries including consumer packaging goods, retail, banking and finance, manufacturing, healthcare and pharmaceuticals, insurance and financing, food processing, supply chain and logistics.

Manager, Analytics Solutions

Acosta, Toronto, ON.

Jan 2021 – Present

• Responsible for providing subject matter expertise and applied thought leadership for analytic solutioning across various Data-Led Retail projects and future analytics initiatives
• Provided guidance and direction on analytical approaches to team with emphasis on business needs
• Successfully piloted next-generation algorithms for on-shelf availability and activity measurement and provided technical and operational stewardship for solutions as they went to market
• Analytics team lead for company’s Retail 3.0 initiative with a focus on modularization of solutions

Senior Data Scientist, Advanced Analytics

Acosta, Toronto, ON.

 

Jul 2018 – Jan 2021

• Led the design, development and implementation of a cloud-based retail forecasting engine on a Microsoft Azure technology stack (Databricks, ADF, PySpark, Spark SQL, Pandas UDFs, Hive) 
• Liaised with Data Platform team to productionize engine within a Big Data ecosystem for Data-Led Retailand migrated over 20 CPG clients with combined annual sales of over $18 billion to new platform
• Proactively recalibrated retail forecast models during on-going pandemic and revised engine to provide flexibility for a variety of client configurations to account for COVID-19 effects
• Provided technical, project and people leadership to new Data Scientists and Data Analysts

Data Scientist, Enterprise Advanced Analytics

CIBC, Toronto, ON.

May 2016 – Jul 2018

• Applied machine learning algorithms and developed predictive analytics models to drive results, increase productivity, and differentiate client experience
• Designed, developed and productionized custom data science solutions for internal business partners in capital markets, compliance, client care, and retail and business banking
• Engaged external vendors to implement a Microsoft Azure HDInsight Hadoop technology stack
• Received CIBC Quarterly Achiever Award for providing technical leadership to support the launch of a new data innovation lab in Waterloo, ON. (2017)

Engineer, Optimization & Advanced Analytics

Caterpillar Inc., Champaign, IL.

Jul 2012 – Oct 2014

• Designed and developed predictive models, customized design tools and integrated optimization toolkits for decision support in the construction, mining and manufacturing industries
• Drove sales by bringing credibility to fleet requirement and productivity estimates through accurate and reliable simulations, contributing $3 million to the value of new commercial contracts
• Received Caterpillar Product Development and Global Technology ‘Mountain Mover’ award for using insights from predictive models to help senior management prioritize research and development in company’s $200 million Autonomous Haulage System (AHS) program (2014)

Senior Consultant

Visual8 Corporation, Mississauga, ON.

Aug 2009 – Jun 2012

• Designed and developed a detailed capacity planning simulation model to determine the production capacity of a newly established aerospace composites manufacturing facility in Abu Dhabi, UAE
• Reduced annual operational costs by half a million for Medco by developing a more efficient drug sort plan for the company’s 4 network pharmacies
• Led the design and development of a decision support system for Novelis’ Light Gauge Business Unit to determine reorder points for various hotband specifications at the company’s two finishing plants

Simulation Consultant

Visual8 Corporation, Mississauga, ON.

Nov 2007 – Aug 2009

• Developed a large-scale simulation of Vale’s Sudbury smelter contributing to millions in cost savings
• Designed and developed a heuristic-based scheduling engine as part of an online planning and scheduling system for 3M’s Industrial Mineral Products Divisions
• Presented case study titled “Real-time Planning and Scheduling System for Industrial Minerals Production” at the CORS/INFORMS Joint International Meeting (2009)

Master of Business Analytics

York University - Schulich School of Business, Toronto, Ontario2015 – 2016

• SAS Certificate (2016)
• Coursework in Predictive Modelling (SAS), Data Management and Programming I and II (SAS), Data Science I and II (Weka, Python, Hadoop, MapReduce),Skills for Leadership, Analytics Consulting, Case Analysis, Multivariate Methods (SAS), Marketing Research (SPSS), and Consumer Behaviour
• Deans Entrance Award (2015)

Master of Management Sciences

University of Waterloo, Waterloo, Ontario

 

2005 – 2006

• Teaching Assistant for a 3rd year undergraduate course in Organizational Design & Technology

Bachelor of Mathematics in Operations Research, Computer Science minor

University of Waterloo, Waterloo, Ontario

 

2000 – 2005

• Graduated 1st overall in Operations Research and recipient of the Operations Research Book Prize