As a data science analyst at Tiger Analytics, he works on a project for Kellogg, where he is responsible for both front-end and back-end development. He has a strong background in programming languages like Python and R, which allows him to handle data cleaning, exploratory data analysis, data modeling, and data visualization with ease. Additionally, his experience with UI reactive tools such as Shiny, enables him to build interactive dashboards and applications for the end-users to interact with the data in real-time. His expertise in both front-end and back-end development allows him to collaborate effectively with cross-functional teams, communicate complex ideas, and manage multiple projects simultaneously. He is passionate about using data to solve complex business problems, and enjoys staying up-to-date with the latest developments in data science. Apart from this he is someone who follows the Stock Market on a daily basis and has done certifications like CFA Foundation and NISM .