Arun Yadav
About Arun Yadav
Arun Yadav is a Senior Manager in Analytics and Data Science at GAIN Credit, where he has worked since 2021. With a background in Electrical and Electronics Engineering and a Master's in Business Analytics, he has over nine years of experience in the Fin-Tech Lending sector, specializing in predictive modeling and risk management.
Work at GAIN Credit
Arun Yadav currently serves as the Senior Manager of Analytics and Data Science at GAIN Credit, a position he has held since 2021. Prior to this role, he worked at GAIN Credit as a Manager from 2019 to 2020 and as a Team Lead from 2017 to 2019. In his current role, he heads the Risk & Fraud division for the Drafty product, where he focuses on developing strategies for line of credit management. His extensive experience at GAIN Credit spans over four years, contributing to various analytics and data science initiatives.
Education and Expertise
Arun Yadav earned a dual degree in Electrical and Electronics Engineering (BTech/MTech) from the Indian Institute of Technology, Kanpur, from 2008 to 2013. He furthered his education by obtaining a Master's degree in Business Analytics from the University of Cincinnati College of Business, completing his studies from 2016 to 2017. His expertise includes predictive modeling, underwriting strategies, and credit line optimization, which are critical in the Fin-Tech Lending sector.
Background
Before joining GAIN Credit, Arun Yadav accumulated significant experience in analytics roles at Global Analytics. He started as an Analyst from 2013 to 2015, progressed to Senior Analyst from 2015 to 2016, and later became a Senior Analytics Scientist II for a brief period in 2016. His early career also includes a summer internship as a Trainee at Vayavya Labs Pvt. Ltd in 2011. Over the years, he has developed a strong foundation in data science and analytics within the financial technology industry.
Achievements
Arun Yadav has over nine years of experience specifically in the Fin-Tech Lending sector. His roles have involved leading analytics teams and developing strategies that enhance credit line management and risk assessment. His leadership in the Risk & Fraud division for the Drafty product showcases his ability to implement effective underwriting strategies and predictive modeling techniques.