• Utilized battery cycle life datasets to evaluate charge algorithms, battery discharge characteristics, and device shutdown behavior, transforming raw data into valuable insights to facilitate evidence based decision making.• Applied data analysis techniques to model the relationship between charge- discharge cycling, state of health, and battery swell over its life cycle.• Developed plans and conducted abuse testing to assess battery performance in real-world conditions as well as extreme temperatures at cell and pack levels.• Conducted validation testing, ensuring adherence to performance benchmarks,while refining testing methodologies using data-backed hypotheses.• Wrote Python scripts and collaborated with technicians, imparting expertise toexecute test plans with precision and repeatability.• Effectively made recommendations and delivered quantifiable insights to cross-functional battery development teams, employing data visualization techniques. Key Accomplishments:• Streamlined test procedures, reducing battery cell and pack evaluation time from 28 to 20 days, optimizing efficiency without compromising accuracy.• Formulated standard operating procedure (SOP) for wireless-charge cycle life test, broadening the project’s scope.• Developed automated data analysis scripts, leading to improvements in the workflow, enabling in-depth insights from cell and pack level evaluation tests.

As an embedded systems intern, I had the privilege of working with the electric vehicles division at Spark Minda Technical Center (SMIT), contributing to the design and development of a low cost Battery Management System (BMS) from concept to prototype. • Spearheaded the design and development of a Battery Management System (Proof of Concept) with a focus on optimizing performance and efficiency at a low cost• Developed algorithm that identified battery chemistry and meticulously updated battery charge and discharge curves. These algorithms enabled safe and efficient charging, and prolonging battery life for lithium-ion batteries.• Developed a robust process for data collection and logging, essential for in-depth analysis. This data-driven approach formed the basis for our decision-making processes and training data for the algorithm.• Conducted benchmarking assessments of competitive products (DC-DC convertors), ensuring that our DC-DC convertors were at the forefront of industry standards and innovations.• Played a crucial role in the testing and validation phase, ensuring that our products met rigorous performance benchmarks and adhered to the highest quality standards.