About

Harshit Gupta is a dynamic data scientist with a background in chemical engineering from IIT BHU, bringing over four years of experience to the field. He possesses a robust toolkit encompassing Python, SQL, deep learning, NLP, and more, enabling him to tackle diverse challenges across industries. His expertise spans model building, data-driven insights, and workflow automation, consistently delivering successful client projects and demonstrating leadership by guiding teams towards innovative solutions. Currently, at Innoplexus, Harshit is automating manual literature mining processes, extracting crucial data like tables and biomarkers using advanced models and algorithms, while also developing predictive capabilities at the gene level. His prior work includes developing Transformer models for chemical data analysis and creating a literature mining algorithm based on syntactical relationships. Earlier in his career, as an AI intern, he led a team in developing a word corpus and Word2Vec model for enhanced customer and competitive analytics, showcasing his ability to leverage data for impactful business insights. Harshit's blend of technical acumen, leadership, and a focus on practical application makes him a valuable asset in the data science domain.