• Data Collection and Cleaning: Responsible for collecting large datasets from various sources, cleaning and preprocessing the data for further analysis. Ensured data integrity and consistency, improving overall data quality by 15%.• Data Visualization and Reporting: Created interactive dashboards and visualizations using tools like Power BI and Tableau to communicate key insights to stakeholders. Helped identify trends and actionable insights, leading to improved decision-making.• Statistical Analysis and Modelling: Applied statistical methods to perform data analysis, uncovering patterns and correlations within datasets. Developed predictive models that increased forecast accuracy by 10%.• Collaborative Projects: Worked closely with cross-functional teams, including marketing and product development, to understand data needs and provide insights that contributed to product enhancements and marketing strategies.• Automation of Reports: Streamlined the report generation process by automating recurring data analysis tasks using Python, reducing the time spent on manual tasks by 20%.• Ad-hoc Analysis: Provided support for ad-hoc analysis requests from various teams, addressing business-critical questions and providing timely, data-driven insights.

-Demonstrated strong enthusiasm and a willingness to learn in the Battery Management System domain-Actively sought guidance from the esteemed team, significantly contributing to my professional growth-Received consistent praise for dedication, teamwork, and adaptability from supervisors and colleagues-Gained practical knowledge and skills, providing a robust foundation for future endeavors-Grateful for the invaluable experience and the opportunity to grow professionally