About

Anuvrat Kulkarni is a highly skilled and experienced Data Scientist with over 5 years of experience in the field. He has a strong background in product building and has been the lead backend developer for various projects during his tenure at Accenture, eClerx, SG Analytics, and Infosys. Anuvrat is well-versed in Python, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Statistics, MLOps (Micro-services), and Optimization. Currently, Anuvrat is working as a Technical Lead - Intelligent Automation at EY GDS Consulting. He is responsible for Table Extraction from PDF using Azure Form Recogniser, Custom Text Classification, and Custom NER modeling using BERT architecture. In the past, he has worked as a Senior Analyst - Analytics Technology at Infosys, where he performed Anomaly Detection and used Linear Regression algorithm to predict sales on a daily basis. Anuvrat has also worked as a Subject Matter Expert - Data Science at Chegg, where he helped university students and professionals with their queries related to Data Science. Anuvrat holds a Bachelor of Engineering (B.E.) degree in Information Technology from Maharashtra Institute of Technology. He has also completed a Graduate Diploma in Data Scientist from Simplilearn and has a Science degree from Rajarshi Shahu Mahavidyalaya (Autonomous), Latur. Anuvrat has a strong TechStack, which includes Senior Software Engineer, Python, Azure, Databricks, ML, Computer Vision, BERT, NLP, Text Classification, Deep Learning, CNN, Research Scientist, Microservices, AWS, Integration, Keras, Flask, XGBoost, Tensorflow, AI, Word2Vec, Image Processing, Javascript, SQL, Search, Sentiment Analysis, Naive Bayes, Object detection, Corpus, Parts-of-speech, OpenCV, Object Detection, Spark, test, ui, and infra. With 4.78 years of relevant experience, Anuvrat is an expert in his field and is highly sought after for his skills and expertise. He is a dedicated and hardworking professional who is always eager to learn and grow in his career.