Praphul Jain
About Praphul Jain
Praphul Jain is an Associate Director of Analytics & Growth at Adda247, with over a decade of experience in data science and business analytics. He has held various roles in analytics across multiple companies, specializing in statistical modeling and machine learning.
Current Role at Adda247
Praphul Jain serves as the Associate Director of Analytics & Growth at Adda247, a position he has held since 2022. In this role, he focuses on leveraging data analytics to drive growth strategies and enhance business performance. His responsibilities include mentoring new team members to help them achieve targets and key performance standards. Jain's extensive experience in analytics positions him to provide actionable insights that support the company's objectives.
Previous Experience in Analytics
Before his current role at Adda247, Praphul Jain held various positions in the analytics field. He worked as a Manager of Analytics at Adda247 from 2019 to 2021 and as a Senior Manager of Analytics & Growth for 11 months in 2021-2022. His career also includes roles at Easypolicy Insurance Web Aggregators Pvt. Ltd. as Analytics Lead-Product, Snapdeal as Deputy Manager of Analytics & Strategy - Marketing, and Global Analytics as a Senior Analyst. Additionally, he served as a Senior Analytics Consultant at Decision Point Analytics.
Education and Expertise
Praphul Jain holds a B.Tech in Chemical Engineering and an M.Tech in Process Engineering & Design from the Indian Institute of Technology, Delhi, where he studied from 2006 to 2011. He has over a decade of experience in data science and business analytics, specializing in statistical modeling and machine learning. Jain possesses expertise in data visualization and data mining, utilizing tools such as Python, R, MySQL, PowerBI, and Google Analytics.
Technical Skills and Specializations
Praphul Jain has a strong foundation in statistical techniques and machine learning algorithms. His skill set includes classification, regression, K-means clustering, KNN algorithm, decision trees, and random forest. He focuses on providing data-driven actionable insights and business-value based recommendations to functional owners, enhancing decision-making processes within organizations.