About

Charith Musku is a highly skilled Data Scientist with 3.95 years of experience in the field. He is currently working at ADP, where he is involved in Payroll Innovation. His primary focus is on document extraction tasks from payroll PDF documents and images. Charith has worked on several projects, including Table Detection and Extraction, Data Privacy, and Bank DD Cheques Extraction. He has used Transfer learning using CascadeTabNet, a Fast-RCNN based Object detection model trained using mmdetection, for Table Detection and Extraction. He has also developed Custom PII Masking using NER models for Data Privacy. Charith has previously worked as a Data & Research Analyst at Indiana University Bloomington and as a Software Engineer at Yahoo. At Yahoo, he worked on Search homepage, where he was responsible for Ranking & Slotting of Knowledge Graph cards, News Recommendations, etc. Charith has a Master's degree in Data Science from Indiana University and a Bachelor of Technology in Information and Communication Technology from Dhirubhai Ambani Institute of Information and Communication Technology. He has a strong TechStack, including Software Engineering, Search, Research Science, Object Detection, and Data Science. Charith is a highly motivated individual who enjoys working on challenging projects. He is passionate about using his skills and knowledge to make a difference in the world of Data Science. He is always looking for new opportunities to learn and grow in his career.