About

Smarajit Paul Choudhury is an Associate Analyst at Mastercard with 2.87 years of relevant experience. He is a skilled data scientist and has worked in various areas of data science and data-driven decision making through projects and internships. He has expertise in popular data analytics tools like Python, R, SPSS, and JMP with excellent presentation, quantitative, and qualitative analytic skills. Smarajit is passionate about healthcare and medicine and believes in the potential game-changing impact of AI in these fields. He is open to interesting paid and pro-bono opportunities that can leverage and advance his skillset. Before joining Mastercard, Smarajit worked as a Product Consultant at Kalmi Technologies Ptv. Ltd., where he helped develop business strategies and products aimed towards a unified platform for musicians and music enthusiasts. He also worked as a Data Science Consultant at Quantvivo Consultancy, where he worked with multiple clients aiding primarily in the domain of data analytics and machine learning. He worked on various commercial projects like market-mix modeling for a leading FMCG brand, marketing analytics and strategy building for a B2B e-commerce platform, and review-based sales forecasting for brands. Smarajit has also worked on research projects leveraging modern recurrent neural networks and transformers based architectures for text analysis, developing a novel strategy of DNA microarray analysis using non-negative matrix factorization, studying premature mortality rates across Australia taking into socio-demographic factors, and building a dashboard using R for EDA of multiple terror strikes across the Middle East. He has used various technologies like Python, R, Markdown, Shiny, Tensorflow, Keras, among other popular libraries. Smarajit holds an Integrated Masters of Technology degree in Engineering Physics from the Indian Institute of Technology (Banaras Hindu University), Varanasi, and a Higher Secondary degree from Maharishi Vidya Mandir. He has a tech stack that includes AI, data scientist, Python, ML, NLP, research scientist, SQL, sentiment analysis, image processing, Scikit, Pandas, and Apache Hive.