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Jagat Nandan Prasad
Consultant( Risk Advisory - Data Science) at Deloitte
About
Jagat Nandan Prasad is a Data Science professional with over 3.5 years of experience in executing data-driven solutions and providing valuable insights to increase efficiency and accuracy that aid in decision-making. Currently working with Deloitte India LLP as a Senior Executive Data Science/Analytics Consultant, he specializes in Data & Business Analytics, Machine Learning, and Computer Vision. Jagat has a demonstrated history of working in various domains, including Record to Report and IT and Payroll, and has expertise in end-to-end analytics of modules. He has experience in data processing, cleaning, modeling, and visualization, and is skilled in Python libraries such as Pandas, Matplotlib, and SQL. Before joining Deloitte, Jagat worked with Tech Mahindra as a Software Engineer and Associate Software Engineer, where he was responsible for exploratory data analysis, data visualization, finding hidden patterns, and getting insights by performing various hypothesis testing, ANOVA techniques, and probability distribution. He has extensive work experience in the field of Machine Learning and Deep learning – computer vision, including object classification, detection, and Yolo models. Jagat holds a Bachelor of Technology degree in Electrical Engineering from Haldia Institute of Technology, and has completed his +2 in Computer Science from Army Public School and his +10 in Science from West Point Academy. Jagat's tech stack includes Data Scientist, Research Scientist, Computer Vision, ML, Software Engineer, Deep Learning, test, Python, Pandas, and SQL. With a relevant experience of 4.85 years, he is a highly skilled and motivated professional, always ready to take up new challenges and deliver exceptional results. Feel free to reach out to him at jagatabhay@gmail.com.
Education Overview
• haldia institute of technology
• army public school barrackpore
• west point academy
Companies Overview
• deloitte
• tech mahindra
• diesel locomotive works
Experience Overview
7.1 Years
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