About

Himanshu Gupta is a highly skilled data scientist with over 6 years of experience in statistical modeling, text analytics, retail banking, merchant analytics, financial modeling, fraud analytics, customer segmentation and profiling, web crawling, NLP, equipment failure forecasting, and product recommendation systems. He is currently working as an Associate Managing Consultant at Mastercard, where he is responsible for fraud modeling, authorization & authentication (SCA/PDS2) analytics, predictive & statistical modeling, customer segmentation & profiling using clustering and lookalike models, merchant analytics, and NLP. Prior to his current role, Himanshu worked as a Senior Analyst - Data Science at Gartner, where he gained expertise in topic modeling, NLP, gensim, sentiment analysis & semantic models, Restful API service, Selenium automation, web application frameworks, and PowerBI. He also has experience as an Analyst - Advanced Analytics at Schneider Electric, where he worked on failure forecasting, predictive maintenance, and data reconciliation modeling. Himanshu holds a Post Graduation in Business Analytics - Full time from the Indian Institute of Management, Calcutta, and a Bachelor of Technology (B.Tech.) in Engineering from the Indian Institute of Technology (Banaras Hindu University), Varanasi. He also completed his high school & intermediate education in Computer Science from Swaraj India Public School. Himanshu is proficient in various technologies, including data science, NLP, Python, recommendation systems, web, sentiment analysis, and Selenium. With his relevant experience of 5.52 years, he has developed a strong understanding of the industry and is capable of delivering high-quality results.