● Leveraged SQL, Python, and R to perform in-depth financial data analysis and create predictive models, supporting strategic decision-making and improving financial performance metrics.● Designed and maintained interactive dashboards and reports using Tableau and Power BI, ensuring accurate and timely presentation of key financial metrics to senior management, and utilized advanced data visualization techniques for clear representation of complex financial data.● Automated ETL processes using SQL and Python, resulting in a 30% reduction in data processing time, and engineered financial data warehousing solutions using Azure to enhance data accessibility and integrity.● Conducted comprehensive financial risk assessments using advanced statistical methods, contributing to effective risk mitigation strategies, and ensured compliance with financial regulations through thorough data audits and control implementations.● Developed VBA scripts in Excel to automate routine financial reporting tasks, increasing efficiency and accuracy, and collaborated with finance, operations, and IT teams to gather requirements, analyze financial data, and develop solutions aligned with business objectives.

Conducted comprehensive analysis by Data Mining and Statistical Analysis of e-commerce sales data and customer behaviour patterns, identifying key trends and insights that drove a 20% increase in online sales and a 15% boost in customer retention through targeted marketing campaigns.● Utilized data-driven insights to optimize inventory management, reducing stockouts by 30% and excess inventory by 25%. Developed predictive models for accurate sales forecasting, enabling more effective inventory planning.● Created and maintained real-time dashboards and reports using Tableau and Power BI, providing visibility into key performance metrics. Automated regular reports on sales, inventory, and customer metrics, reducing manual reporting time by 50%.● Conducted market research and competitive analysis to support product development and strategic initiatives. Performed customer segmentation analysis, enabling personalized marketing strategies and improved customer engagement.● Collaborated with marketing, sales, and product teams to translate business needs into actionable insights. Identified and implemented process improvements, streamlining data workflows and enhancing overall efficiency in data analysis and reporting.● Designed and implemented scalable data pipelines using AWS services, ensuring efficient data flow and integration across multiple sources. Improved data processing speed by 40%.