About

Monoj Kumar Gogoi is an experienced Associate at JPMorgan Chase & Co. with over 11 years of experience in the field of Machine Learning based Data Science and Big Data Solution Design and Development. He holds a Master of Technology degree focused in Data Modeling and Data Science. Currently, he works for JPMorgan Chase & Co. as an Associate - Data Analysis, Customization, and Delivery. In the past, he has worked with companies like Zaloni and Mindtree in various roles. At Zaloni, he worked as a Senior MDM Data Lead and was involved in creating MDM prototypes, classification models based on Logistic Regression, Support Vector Machine Kernels, and Random Forest leveraging Python-based scikit-learn. He also deployed successfully evaluated MDM prototypes and strong machine learning data models on large-scale datasets utilizing Apache Spark ML (mllib) library. At Mindtree, he worked as a Senior Software Engineer and was involved in analyzing requirements and developing design approaches for J2EE based projects. Monoj's educational background includes a Master of Technology degree in Data Modeling, Data Science, and Database Administration from Birla Institute of Technology and Science, Pilani, and a Bachelor of Technology degree in Computer Science from Biju Patnaik University of Technology, Odisha. Monoj's technical skills include ML, Big Data, Data Scientist, Spark, SVM, Random Forest, Scikit, Research Scientist, Software Engineer, Python, Apache Hive, Spring, and Java. He has relevant experience of 9.95 years. Monoj is a highly skilled professional with a proven track record of delivering high-quality work in the field of Machine Learning based Data Science and Big Data Solution Design and Development.