About

Umesh Rathod is a skilled Data Engineer with over 2.5 years of relevant experience in the field. He is currently working as a Jr. Data Engineer at UsefulBI Corporation, where he specializes in Big Data Engineering, Apache Spark Development, and DataBricks. With a strong understanding of AWS and Azure, Umesh has worked on several projects involving data processing, storage, and analysis. Umesh's past experience includes working as an Almabetter Data Science Pro Member and an Email Campaign Effectiveness Prediction Project Coordinator at Almabetter. During his tenure, he developed a multi-class XGBoost model to predict the effectiveness of email campaigns by reader actions such as ignore, read, and acknowledge. He also performed missing value imputation using KNN-Imputer, implemented SMOTE boosting, and carried out hyperparameter tuning using RandomisedSearchCV. Umesh's contributions led to an overall increase in customer acquisition rate by 15% using model predictions. Umesh holds a B.Tech in Mechanical Engineering from Dr. Babasaheb Ambedkar Technological University and a Diploma in Mechanical Engineering from Government Polytechnic Pune. His technical skills include Data Engineering, AWS, Databricks, Spark, Big Data, Azure, XGBoost, and Hyperparameter tuning. Umesh is a self-motivated and passionate individual who enjoys working on complex projects. He is always eager to learn and explore new technologies and is committed to delivering high-quality solutions. Umesh is open to new opportunities and can be reached at umesh.rathod1307@gmail.com or +91 8459102748.