Abhinav Singhal

Abhinav Singhal has a diverse work experience in the field of data science and business development. Abhinav started their career as a Business Development Executive at HCL Services Ltd in 2016, where they improved sales by cross-selling IT products and services and worked closely with cross-functional teams to meet customers' requirements.

In 2019, Abhinav joined Reliance Industries Limited as a Macroeconomic Quant Analyst (Summer Intern). During their time there, they collected granular data through web scraping and applied machine learning techniques to reduce the error of monthly CPI inflation forecasts. Abhinav also built a volatility prediction model using Multivariate GARCH and Gaussian Copula for better asset return bounds prediction and developed dynamic factor models predicting bond prices and momentum.

Abhinav then joined Zendrive in 2020 as a Data Science Intern, where they gained experience in data analysis and modeling. Abhinav later became a Data Scientist, where they designed and implemented a modular insurance model for estimating collision frequency and collaborated with customers to build customized driving risk models.

In their most recent role as a Data Scientist II at Zendrive, Abhinav developed and implemented a C++ library for a driver-passenger classification model and owned the end-to-end insurance pipeline for computing accident probabilities. Abhinav utilized various tools and technologies such as LightGBM, Boruta SHAP feature selection, Amazon S3, Redshift, Apache Spark, and cron.

Overall, Abhinav Singhal has demonstrated expertise in data science, machine learning, and business development throughout their career.

Abhinav Singhal completed their Bachelor of Technology in Electronics and Communications Engineering from the Indian Institute of Technology, Roorkee, between 2012 and 2016. Abhinav further pursued a Master of Science in Econometrics and Quantitative Economics from the Indian Statistical Institute, Kolkata, from 2018 to 2020.