About

Prerit Anwekar is a highly skilled Senior Data Scientist with a passion for Statistics and Machine Learning. With 7.60 years of relevant experience, he has developed expertise in solving Time Series problems using Statistical Models and Machine Learning. Currently, he works at Aera Technology as a Client facing data scientist, where he helps customers gain insights from data and builds end-to-end Machine Learning Pipelines. Prerit's past experience includes working as a Data Scientist at Cuna Mutual Group, where he developed and marketed a Customer Churn predictive product to clients, driving business growth with four contracts worth approximately $400,000 in additional revenue per year. He also developed an end-to-end Customer Churn model to identify whether a member is going to churn in six months or not, based on transactions spanning across 3-4 years and the customer's account holdings. Prerit performed data cleaning and transformation on 7.1 million data points with 431 features and developed models using scikit-learn, Logistic Regression, Random forest, and XGBoost. XGBoost performed the best, achieving CV-AUC of 0.87 and Recall of 65%. He also re-engaged and retained members worth ~$245K in member lifetime value, estimated to be ~$1.5M if the campaign runs for a year. Prerit's past experience also includes working as a Lead Instructor at Indiana University Bloomington, where he taught SQL to a lab of 24 students, created lecture PPTs, assignments, grading, and attendance maintenance. Prerit's Tech Stack includes Data Scientist, Research Scientist, ML, Python, XGBoost, Random Forest, Scikit, test, SQL, and Computer Vision. He is a Kaggle Top 3% and can be reached at psanwekar@gmail.com.