Yueling L.

- Built a 5-year long range financial plan for the Client+ HDD business covering Client OEM and Distribution, Surveillance, and Connected Home markets

PVMC Management - Managed the Oracle Essbase Price-Volume-Mix-Cost (PVMC) analytic framework, database, and reporting platform with Tableau and Smartview addon - Designed enhancements of the PVMC system with new features - Integration of the PVMC system with a new company-wide ERP system - Created new reporting views to deliver insights, drivers, and financial accountability Projects designed and managed: - Sales forecasting – A multi-level model that combined quarterly TAM-level forecast and weekly Facebook Prophet predictions - TAM forecasting – Overhauled TAM model covering technology, capacity mix, and price curves - Price Erosion process - Managed the price erosion guidance and communication process

- Continuous development of working price erosion predictive model • Requirements analysis from all stakeholders • Worked with cross-functional teams to create specialized features that enhanced predictive power • Designed business judgement overlay onto predictions • This model has become an integral part of Western Digital planning system - Price Elasticity – Developed a price elasticity model using two-stage log-log regression - PVMC Reporting – Supported the development of the PVMC system, created reports and presented forecast review meetings

- Created a stochastic linear program in MATLAB to obtain optimal capacity buffers - Coded a Monte-Carlo simulation to determine optimal insource versus outsource manufacturing split - Conducted demand variability analysis comparing sales forecasts with actual shipments - Modeled SanDisk’s manufacturing network and used a greedy algorithm to search for the best supply chain structure

- Worked on the simulation, modelling, and optimization of perioperative systems • Created a two-stage stochastic program that integrated patient flow variability, operating room scheduling, and predicted patient length-of-stay - Implemented a new structured regularizer that captured complicated cost structures to simultaneously identify groups while predicting septic risk in ICU patients - Developed a solver for convex quadratic optimization - Developed a new filter method for general nonlinear nonconvex optimization problems that avoided the traditional restoration phase

- Researched the adjustment of the two penalty parameters in the exact differential penalty function (EDPF) and implemented in MATLAB - Explored various warm-start strategies in the Augmented Lagrangian algorithm for model predictive control