About

Rupesh Prasad is a highly skilled machine learning professional with over 10 years of experience in the BFSI domain. He has a demonstrated ability to deliver valuable insights through data crunching and data science techniques. Rupesh is a Microsoft Certified Azure Fundamentals expert and is proficient in a range of tools, including Python, R, SAS, and Emblem. He is also well-versed in various AI techniques, such as Deep Learning (Keras, Tensorflow), Natural Language Processing, Generalized linear models (Logistic, Poisson, Gamma, Tweedie), Regularization techniques (lasso, ridge, elastic net), Tree Based Models (Decision tree, Gradient boosting, XGBoost, LGBM, Random Forest), KNN, SVM, Clustering, and dimension reduction (PCA & t-SNE). Currently, Rupesh is working as an Associate Consultant at TCS, where he is part of the analytics and insight group. He has worked on various data science engagements, including efficiency analysis for carbonation processes. In this project, Rupesh helped a global chemical company to reduce variance in the individual tower efficiency and move towards Golden Efficiency. Rupesh has also worked as a Senior Predictive Modeler at AIG, where he was part of the predictive modeling team for personal insurance. He developed various traditional/AI-based solutions, such as loss cost models, conversion models, text mining (NLP), and claim amount prediction for worker's compensation. Additionally, Rupesh worked as a Senior Analyst at Citi, where he was part of APAC Analytics, delivering multiple projects across Asia Pacific Markets. Some of his key projects involved Next best product optimization for marketing and product propensity models. Rupesh holds a Master's degree in Mathematics from the Indian Institute of Technology, Madras, and a Bachelor's degree in Mathematics from Delhi University. He is proficient in a range of technologies, including AI, XGBoost, Random Forest, NLP, Data Scientist, SVM, Deep Learning, Keras, Python, ML, Azure, Tensorflow, SQL, AWS, BERT, CNN, and RNN. With over 12 years of relevant experience, Rupesh is a highly skilled and accomplished machine learning professional.