About

Ashwani Choudhary is a highly skilled Data Scientist with over 5 years of experience in the field. Currently working as a Data Scientist at Fractal, he has expertise in developing predictive models, building pipelines, and identifying key drivers for sales and targeting strategies. At Fractal, Ashwani developed a predictive model using Random Forest to predict invoice payments, achieving an impressive accuracy of 94%. He also built an ARIMA model to forecast net cash flow for seven payment components, reducing MAPE to 5%. Additionally, he developed a Fuzzy Matching Tool to link agencies and employers, providing a confidence score on every match attempt. Prior to his current role, Ashwani worked as a Data Science Associate at ZS Associates, where he used Genetic Algorithm-optimized feature lists to predict statin adherence. He also developed a predictive model to identify future potential writers and drops to optimize touch-point interactions, achieving an RMSE of 4.1. Furthermore, he built a pipeline to identify key drivers that drive patient adoption of two different products and ECP behavior to inform targeting and sales strategy using PU Learning. Ashwani also has experience as a Data Science Intern at Shortlist, where he developed a Job Description parsing tool that can map requirements to key terms in the database and provide insights on job requirement patterns. Ashwani holds a Bachelor's degree in Electronics and Communications Engineering with a minor in Operation Management from IIT Dhanbad. He is skilled in Data Science, Research Science, dotNET, Python, and Random Forest. Ashwani's expertise in developing predictive models, building pipelines, and identifying key drivers for sales and targeting strategies make him a valuable asset to any organization.