About

Nj Nitesh is a highly skilled Senior Data Scientist at EY, with a focus on AI, Deep Learning, Machine Learning, Computer Vision, and Supply Chain. With almost five years of relevant experience, Nj has a strong background in solving real-life business problems and programming. He is well-versed in software development using Python, SQL, Azure Cognitive Services, and other tools. Nj is particularly interested in Computer Vision and Deep Learning problems and is currently leading R&D projects such as Speaker Diarization, Vehicle damage detection and recognition, Table structure recognition and data parsing, and Supply Chain. He also enjoys working on regression models, predictive data modeling, data story with insights, and providing solutions for complex Data Science problems. Currently working at EY, Nj is involved in Employee Attrition model and data modeling, as well as the supply chain project, Bauxite management, and Logistics Scheduling and Analytics. Prior to his current role, Nj worked as a Consultant Data Scientist at Celebal Technologies, where he worked on projects such as Car damage detection model, Custom Vision, and Deep Learning, Invoice Parser, Parsed the data, structured It into the form of a table, and named entity, Table Detection Model & Structure Recognition, Handwritten Medical Drug PO parser, and Wall & roof segmentation and paint overlay on the detection. Nj also worked as a Machine Learning Engineer at LearnCodeOnline, where he developed a Document Parser with Tesseract, Scratch Coupon for Reward, Discussion Forum for Students & Mentor, and Python Automation for Certificate Generation with Selenium and Photoshop. Nj holds a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from Arya Institute of Engineering & Technology, Jaipur. He is highly skilled in Data Science, Research Science, Computer Vision, Deep Learning, AI, ML, SQL, Python, Azure, Software Engineering, Selenium, Django, MSSQL, UI, and Backend.