• Conducted exploratory analysis of retail store scanner data to find insights into sales seasonality & potential drivers, and made suggestions for promotional activities during the super bowl and high demand season• Explanatory analysis: Used linear mixed-effect regression (reduced RMSE) to model data & identify crucial sales drivers; recommended optimum shelf share, effective promotional activities and geographical regions for investment• Used the random effects of store on price sensitivity to recommend specific stores to give discounts or leverage price powerTools Used: R Programming, Tableau

1. Customer Behavior Insights – Automotive Seats:• Shaped the design understanding of a new part in passenger seats by conducting market research; saved R&D cost ~$50k• Managed try-outs to identify different positions in which people sit inside a car, and conducted surveys to gather data regarding what objects are frequently placed on seats• Analyzed the gathered data to pull out actionable insights and used it define the shape and position of the new part• Designed, prototyped and tested automotive seats to ensure part performance and validate insights• Led a team of 3 for implementation of the new part across 9 passenger car models; production volume ~650K per year2. Project management for design and development of interiors for four Suzuki car models. 3. Conducted qualitative research to find insights into consumer seat use behavior. More details below.4. Partnered with cross-functional stakeholders to manage prototype trials for product development.5. Collaborated with local and overseas (Germany & Japan) stakeholders, for research activities.6. Implemented ad-hoc analysis and troubleshot part-vendor issues. 7. Took initiative to coordinate budget for the department. Forecasted and managed capital and revenue budget.

Developed expertise in automotive interior designing and product development cycle.