Team Lead – Data Analytics
JP Research India Pvt Ltd
Led a team of 25+ Data Analysts and ML Engineers, overseeing project planning, execution, and timely delivery of analytics solutions. Delivered end-to-end data projects, covering data collection, preprocessing, model development, and dashboard-driven insights. Designed and deployed Machine Learning and Deep Learning models for automotive safety, including accident severity prediction and trend analysis. Built scalable OCR-based automation pipelines that reduced manual data entry by 85% and improved operational efficiency by 40% through AI-driven workflow optimization. Worked on NLP and LLM-based solutions to enhance automation and data processing capabilities. Collaborated closely with stakeholders and cross-functional teams to translate analytical findings into actionable insights, and partnered with IIT Delhi research teams on the National Database for Fatal Road Crash System (NDFRCS). Regularly presented technical insights and strategic recommendations to senior leadership.
Mar 2024 – Present (2 yr 3 mos)
Associate Data Analyst
JP Research India Pvt Ltd
Contributed to data-driven decision-making through analysis of large-scale, multi-source road safety datasets using Python, R, and SAS. Performed data preprocessing, validation, and exploratory analysis to identify risk patterns and support automotive safety insights. Automated repetitive data processing and reporting workflows using Python, improving efficiency and reducing manual effort. Actively contributed to technical documentation, analytical reporting, and client-facing deliverables, ensuring clear communication of insights for national-level road safety initiatives.
Dec 2022 – Feb 2024 (1 yr 3 mos)