About

Parth Shrivastava is a highly skilled and experienced Data Scientist with over 6 years of relevant experience in the field. Currently, he is working as a Lead Data Scientist at PayU, where he applies his expertise in research science, data science, and machine learning to develop innovative solutions that drive business growth and success. In his current role, Parth is responsible for leading a team of data scientists and overseeing the development and implementation of various data-driven projects that support the company's mission and objectives. He is also involved in conducting user research around behavioural economics for a diverse set of problem statements, creating propensity models to predict user actions, and developing ML models to maximize objectives for LazyPay marketing campaigns, such as customer acquisition and retention. Prior to his current role, Parth gained valuable experience working as a Data Scientist and Associate Data Scientist at PayU, where he was instrumental in developing and implementing various data-driven projects that helped the company achieve its goals. During this time, he conducted user research around behavioural economics for a diverse set of problem statements, created propensity models based on this research, and developed ML models to maximize objectives for LazyPay marketing campaigns. Parth's technical skills and expertise include research science, data science, and machine learning, and he has a proven track record of using these skills to develop innovative solutions that drive business growth and success. He is highly motivated, detail-oriented, and committed to delivering high-quality work that meets or exceeds expectations. Overall, Parth Shrivastava is a talented and highly skilled Data Scientist with a wealth of experience and expertise in the field. He is a valuable asset to any organization and is committed to using his skills and knowledge to help companies achieve their goals and objectives.