Miscellaneous

• Anheuser-Busch InBev: Causal Analysis and Improvement for On-Time Loading (Spring 2021)

  • Provided insights that can be translated into data-driven operational guidelines to improve On-Time Loading and develop a feasible and cost-efficient work schedule for the workers.

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• Belden (PPC): Forecasting to Improve Service Levels and Inventory Cost (Fall 2020)
  • Developed a predictive model integrating a time-series model and machine learning algorithms to accurately forecast the demand and provided more efficient inventory management strategies.
  • Project of the Year, 5th annual Boeing Center Symposium

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• Belden: Price Optimization Model and Salesforce Analysis (Summer 2020)
  • Created two pricing models using statistical algorithms to optimize selling prices for all cable products and customers under various order circumstances

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• Express Scripts: Demand Forecast Modeling (Spring 2020)
  • Analyzed historical dispensing and forecast data, identified root causes of forecast errors; developed a demand forecast model to improve forecast accuracy.

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• Anheuser-Busch InBev: Demand Forecasting with Machine Learning (Fall 2019)
  • Introduced new features to AB’s current machine learning model and tested selected features using time-series and machine learning methods to improve the accuracy of the sales forecast.

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• Belden: Finite Capacity Scheduling (Fall 2018)
  • Developed a new shop floor finite capacity planning process to improve on-time delivery and manage manufacturing costs from a rough SIOP process.

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• Anheuser-Busch InBev: Dedicated Fleet Optimization (Fall 2017)
  • Designed a simulator to evaluate and recommend the optimal fleet size, in response to transportation market dynamics and the effectiveness of current fleet deployment and utilization.
  • Project of the Year, 2nd annual Boeing Center Symposium