Design data & analytics products to achieve automated reporting/analysis, gain business insights, improve forecast accuracy, reduce waste, and drive operational efficiency. Partner with stakeholders (commercial and finance teams) to develop mission statement, data strategy, modeling algorithms, and visualization prototypes. Manage product roadmap, delivery, and lifecycle. Lead digital transformation of DT organization by orchestrating a scrum team of data engineers, data analysts, modelers, visualization engineers, and coaching early IT career program employees.

Developed stress testing forecast models per CCAR guideline. Partnered with model validation and governance teams to establish robust modeling process, drive model review and documentation procedures.
• Built macro-linkage PPNR (Pre-Provision Net Revenue) models to identify key risk factors for financial statement metrics. Assisted in building model search engine in Matlab for automatic end to-end PPNR data processing, feature selection, modeling, and testing.

Provided data-driven solutions for clients in banking, industrial, retail, and financial services industries. Expertise in behavioral & strategic segmentation, consumer preference, campaign analysis, loss cost forecast, propensity scoring model.
• Collected, stitched, and cleaned large scale household-level demographics and transaction data.
• Designed multi-dimensional segmentation to differentiate customer behaviors & advocacy for targeted marketing. Refined sales strategy by building product clustering model and share of wallet model to infer cross-sell opportunities (for grocery retail chain).
• Led loss cost pilot study to predict liability and severity based on reoccurrence data to manage service contract risk (for U.S. multinational automaker).