Creating predictive models for churn & AI-powered recommendation systems. Aiming to improve customer sales and retention (IVR, mobile app, retail)

• Lead a team in developing & launching the alpha phase of an internal delivery system dashboard using PowerBI •Identified the KPIs in the Parts Delivery System by regularly communicating with users and backend engineers•Synthesized user insights into feasible design decisions; deployed MVP in 4 months•Performed data collection, transformation, and analysis of activities with SAP tools for various departments and stakeholders such as finance, parts operation, and sales.• Executed test cases and developed BI & AWS objects, design, and reported test results to management•Developed skills in TensorFlow to build drones that recognize barcodes using AI imaging methodologies with 90-99% accuracy

• Interviewed customers to understand requirements and collaborated with various teams to develop components for next generation fiber optic devices • Lead and implemented various test methods to characterize liquid crystal cells, MEMS, and silicon photonic devices to develop improved device designs, components, and test processes via data analysis• presented findings to customers• Developed pymacros to automate wafer component design layouts (in KLayout) and optimize the test route of the WYKO probe used for various MEMS measurements by reducing path discrepancies by 24%

● Extensively researched market forecasts of distributed energy resources (DERs) & presented roadmap of long-term integration measures into Ontario’s energy grid system to various stakeholders● Wrote detailed report addressing energy market trends, emerging consumer requirements, and developed executable strategies to implement innovative engineering processes into the energy grid system● Executed the performance validation of various emerging alternative technology facilities and presented results to business teams using Tableau