About

Rajat Sharma is a highly skilled Data Science professional with over 3.78 years of experience in the field. He currently works as a Data Science Associate Consultant at ZS Associates, where he has been involved in ML-based lead scoring and prioritization projects. Rajat has built end-to-end data orchestrations and machine learning pipelines using Azure Synapse, Azure Data Bricks, and Azure Machine Learning Studio. He has also conducted extensive exploratory data analysis on Big Data using Azure Synapse & pySpark to generate useful insights for businesses. Rajat is passionate about NLP and has applied several techniques like POS tagging and Topic Modelling to extract sentiments and summarize coaching feedback forms. He then used BERT to classify the forms into multiple classes to get the overall essence of the feedback to enhance coaching of sales reps. Prior to ZS Associates, Rajat worked as a Data Scientist and Python Developer at Kristal.AI, where he worked on several Data Science and NLP projects like predictive models for lead prioritization, recommendation systems, and sentiment analysis of news articles. Rajat holds an MTech degree in Machine Learning from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), where he worked on projects related to image classification and text classification. He is proficient in various technologies and tools like Python, SQL, BERT, Scikit, and Pandas, among others. Rajat is a research scientist and a software engineer with an excellent track record of delivering high-quality work. He is optimistic and always open to learning, and his ultimate goal is to become a top-notch professional in the field of Machine Learning and Data Science.