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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

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

Bachelor of Mathematics in Operations Research, Computer Science minor

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