About

Ajeet Jha is a highly skilled Product Manager with over 6 years of relevant experience in the tech industry. He is currently working at Simpl, where he is responsible for building products that incorporate the best of engineering, design, data science, business, and customer behavioral understanding. Prior to his current role, Ajeet worked as a Data Scientist at Phonepe, where he focused on user targeting for incremental returns, budget redistribution against rewards to maximize ROI, and estimating the digital affluence of customers. He also predicted P2P payment motives of customers and mapped them to related favorite contacts to show predictive speed-payment slots. Ajeet has also worked as a Data Scientist at Moonfrog Labs, where he focused on observing chips flow behavior at inflow and in-game to capture seller and buyer behavior of a game player. He also estimated D1/W1 retention of user installs to help decide limits for CAC for acquisition channels, flagged abusive content in chat messages, and built a basic reinforcement learned bot to play teenpatti game. Ajeet is a Vipassna follower and has a strong educational background. He holds a Bachelor of Technology degree in Computer Science from Ramaiah Institute of Technology and has completed Product Management Program from Duke University. He also holds a Deep Learning Foundation Nanodegree and a Machine Learning Nanodegree from Udacity. Recently, he completed Leadership & Innovation from Massachusetts Institute of Technology. Ajeet's tech stack includes Product Management, Data Science, Research Scientist, and P2P. He is a highly motivated individual with a passion for building products that solve customer problems. Ajeet's ability to understand customer behavior and combine it with data science and engineering skills makes him a valuable asset to any organization.