About

Kumar Gaurav is a full-stack Data Science professional with over 3 years of experience in descriptive and predictive analytics. He has worked in challenging roles that require simplifying complex business problems. Kumar is specialized in Machine Learning, Artificial Intelligence, Descriptive & Inferential Statistics, Predictive Analytics, Python, SQL, Numpy, Pandas, and Scikit-Learn. Currently, Kumar is working as a Data Scientist at Fractal, where he is responsible for developing and implementing machine learning models to solve complex business problems. Prior to this, he worked as a Manager-Analytics at L&T Financial Services, where he worked on the 5th Generation Credit Risk Model and Bounce Roll Forward Model 0-180 DPD. In addition, he also made month-on-month masters and analyzed the performance of various branches of L&T Finance. Kumar has expertise in technologies such as Logistics Regression, Decision Tree, Random Forest, XGBoost, LGBM, Precision, Recall, F1-Score, Pandas, Numpy, and Statistics. Kumar has also worked as an ML-Research Intern at Pianalytix, where he worked on a research project to predict the quality of air in various Indian cities using machine learning techniques. He successfully predicted the top most polluted cities according to data and identified and deployed the results. Kumar has expertise in technologies such as Linear Regression, Decision Tree, Random Forest, R-Square analysis, VIF Analysis, and Tableau. Kumar holds a PGP in Data Science and ML from Praxis Business School and a Bachelor's of Engineering in Information Technology from Maharashtra Institute of Technology. He also holds a 10th and 12th certificate from Kendriya Vidyalaya and Central Board of Secondary Education, respectively. Kumar's tech stack includes Data Scientist, Research Scientist, ML, SQL, Random Forest, Pandas, XGBoost, infra, Scikit, and Python. With relevant experience of 3.10 years, Kumar is a skilled data scientist with expertise in solving complex business problems using data-driven insights.