About

Pramodkumar Gupta is an AI/ML Cloud Consultant at Google with 13+ years of experience in the industry. He specializes in Data Science, Machine Learning, Deep Learning, NLP, ETL Data warehouse, and has domain expertise in Banking & Finance, Healthcare, and Telecom. He is a GCP Certified - Professional ML Engineer and has completed his Bachelor of Engineering from the University of Mumbai and PGDM in IT Projects Management from Welingkar Management Institute with Distinction Grade. Prior to joining Google, Pramodkumar worked as a Lead Data Scientist at Edelweiss Tokio Life Insurance, ATG Business Solution Pvt Ltd, J.P. Morgan Chase, and Tata Consultancy Services (TCS). He has worked on multiple projects, including Account Receivable 60 days past due prediction, Treasury owned Account Payment prediction, Telecom Churn prediction, Faster Funding to Merchant based on ARIMA time series model, and many more. He is skilled in Regression and Classification problem with Linear Regression, Logistic, KNN, Decision tree, SVM, Random Forest, XGBoost algorithms for machine learning. He is also knowledgeable in Deep learning Framework like ANN, RNN, CNN, LSTM, Tensorflow, and Keras. In his previous roles, Pramodkumar led a team of data scientists by delivering ML Insurance projects like Fraud Model, Propensity to Lapse, M0M1 Model, Grievance Model, Cross/Up Sell Model, Funnel Optimization for leads, and Product Recommendation Model. His ML based Fraud Model helped business to identify and reject 68% fraud claims upfront, which leads to INR 93 Cr. ROI. He has also implemented Customer Sentiments Report for Telecom Services using LSTM RNN Deep Learning technique and reaching out to customers early to prevent customer churn due to negative sentiments. Pramodkumar has also worked as a Data Engineer (Informatica ETL Developer, Oracle SQL Developer) in the initial career stint. He has completed several education programs including Post Graduate Diploma In Management - PGDM from Welingkar Institute of Management and Bachelor of Engineering - BE from the University of Mumbai. He is proficient in several tech stacks including SQL, Data Scientist, Research Scientist, ETL, Python, Deep Learning, GCP, Data Engineering, SVM, XGBoost, Random Forest, CNN, RNN, Senior Software Engineer, Data Warehouse, AWS, Keras, NLP, Tensorflow, Object detection,