As a data scientist at C2FO, I leverage SQL, Python, and Excel to transform raw data into actionable insights. I specialize in forecasting, hypothesis testing, and statistical analysis, using various techniques and tools to solve complex business problems and optimize outcomes. Previously, I worked as a senior applied data scientist at Tesco and a decision scientist at Mu Sigma, where I collaborated with Fortune 500 companies across retail, fintech, and technology sectors. I delivered strategic insights for informed decision-making, such as identifying the right set of SKUs for online assortment, understanding customer offline behavior through video analytics, and creating an automated insights platform based on time series forecasting. I also excelled in translating complex data into clear, impactful narratives to drive business success. I graduated from Siddaganga Institute of Technology with a BE in Electrical and Electronics Engineering in 2019, where I participated in national level technical quizzes and won the best presentation award on climate change. I am passionate about data science and its applications in various domains, and I am always eager to learn new skills and technologies to enhance my capabilities and contribute to the data science community.