Abhinav Singhal

Abhinav Singhal is a specialist in quantitative development currently employed at Franklin Templeton since August 2023, where responsibilities include developing and optimizing models for the Goals Optimisation Engine and implementing risk management techniques. Previously, at Zendrive from September 2020 to August 2023, Abhinav served as a Data Scientist II, contributing to driver-passenger classification projects and managing end-to-end insurance pipelines. Earlier roles included Data Scientist and Data Science Intern at Zendrive, focusing on modular insurance models and data quality solutions. Abhinav also gained experience as a Macroeconomic Quant Analyst intern at Reliance Industries Limited, where significant improvements in inflation forecasting were achieved using machine learning techniques. Abhinav's initial experience includes a business development role at HCL Services Ltd. Abhinav holds a Master of Science in Econometrics and Quantitative Economics from the Indian Statistical Institute and a Bachelor of Technology in Electronics and Communications Engineering from the Indian Institute of Technology, Roorkee.