About

Shreyansh Jain is a highly skilled Data Scientist with 2.43 years of relevant experience in the field. He holds a Bachelor's degree in Computer Science from lnmiit. Shreyansh is currently working as a Data Scientist at Zeta Suite, where he is responsible for analyzing complex data sets and developing predictive models to drive business decisions. Shreyansh has a strong background in Machine Learning and is proficient in using various ML algorithms such as XGBoost, Random Forest, and LightGBM. He has a proven track record of building application scorecard models for credit risk assessment, collection models for repeat users, and customer segmentation using K-means clustering. Shreyansh's past experience includes working as a Consultant Data Scientist at Zeta and as a Data Science Intern at Avail Finance. At Avail Finance, he worked on various projects related to application scorecard modeling, collection modeling, customer segmentation, and decision policy making. Shreyansh used traditional and alternative data sources to build decision trees and segment customers, which helped in developing various policies. Apart from his technical skills, Shreyansh is a great team player and has excellent communication skills. He is always eager to learn and stay updated with the latest technologies and tools in the field of Data Science. Shreyansh is passionate about solving complex business problems using data-driven approaches and is committed to delivering high-quality solutions. Overall, Shreyansh Jain is a talented Data Scientist with a strong technical background and a passion for solving complex business problems. He would be a valuable asset to any organization looking to leverage data to drive business decisions.