Data Science professional with 5 years of experience in the data domain, specializing in leveraging Python, SQL, and Power BI to derive actionable insights across diverse sectors including Retail, Aftermarket, Telecom, Renewables, and Electric Vehicles (EV). Proficient in Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Experienced in developing dynamic dashboards and reports in Power BI to facilitate data-driven decision-making. Skilled in SQL for efficient data querying and management, ensuring accurate analysis across multiple data sources. Additionally, well-versed in Azure DevOps for maintaining project flow in an Agile environment, managing sprint planning and execution effectively. A collaborative communicator, adept at working with cross-functional teams to translate business requirements into technical solutions that drive impactful results.