Contributed to data-driven business solutions by analyzing, transforming, and interpreting complex datasets using SQL, Python, Pandas, and Excel. Developed interactive dashboards and visualization reports through Power BI and Tableau, enabling clear performance tracking and informed decision-making. Managed data cleansing, validation, and quality assurance processes to enhance reporting accuracy and reliability across multiple analytical projects. Optimized database structures and SQL queries to improve data accessibility, retrieval efficiency, and overall system performance. Collaborated on machine learning and computer vision initiatives, including sentiment analysis, face mask detection, and drowsiness detection models, gaining practical exposure to predictive analytics and real-time data applications. Supported end-to-end analytical workflows, from data preparation and exploration to insight generation and reporting, while demonstrating strong problem-solving abilities, attention to detail, and a commitment to delivering actionable business intelligence. Consistently contributed to transforming raw data into meaningful insights that supported operational efficiency and strategic decision-making.