Rajesh Sharma

Rajesh Sharma is a Senior Data Scientist at Upper Hand, with a rich background in data science, full stack development, and machine learning engineering. Currently serving as the Lead Full Stack Developer at Smart Charity and a Full Stack Developer and ML Engineer at Project 990, Rajesh has led teams to create platforms that enhance nonprofit analytics and streamline resource sharing. Previous roles include NLP Engineer and Data Analyst at Indiana University - Kelley School of Business, where Rajesh conducted significant research on information extraction and NFT market impacts. With a Master’s degree in Computer Science from Indiana University Bloomington and a PG Diploma in Data Science and AI, Rajesh has a proven track record of implementing data-driven solutions across various sectors, showcasing skills in predictive modeling, data analysis, and web development.