About

Rahul Issar is a skilled Data Science Manager at eClerx with over 3 years of experience in designing and implementing data-driven solutions to increase efficiency, accuracy, and help businesses achieve their core KPIs. He is specialized in regression models using predictive modeling and statistical modeling techniques to deliver insightful and actionable solutions. In his current role as Process Manager - Data Science at eClerx, Rahul leads a team of data scientists and engineers to develop and implement data-driven solutions for clients. He has a proven track record of delivering successful projects for Fortune 500 clients across various domains such as FMCG, BFSI, Manufacturing, and Healthcare. Rahul has previously worked as a Consultant at KPMG Global Services (KGS) and as a Senior Procurement Analyst at Zycus. At KPMG, he helped achieve 90%+ spend visibility for a major UK-based capital markets and stock exchange group using NLP techniques. He also developed a customer segmentation model for a major US-based healthcare company to increase margin and reduce operational costs. At Zycus, Rahul led data mining and pre-processing of customer’s global spend data and helped customers achieve 90%+ spend visibility by developing and implementing models to help classify spend data. Rahul holds a PGP in Artificial Intelligence & Machine Learning from GLIM and a Bachelor's degree in Mechanical Engineering from CSVTU. He is skilled in various technologies such as Data Science, ML, NLP, Python, SQL, ETL, Keras, AI, Word2Vec, Deep Learning, TensorFlow, and Pandas. He has experience in product management, UI, integration, mobile, web, and software engineering. Overall, Rahul has 5.62 years of relevant experience in the field of Data Science and is a Certified Scrum Master (CSM®). He is passionate about using his skills to help businesses make data-driven decisions and achieve their goals.