Akash Prakashan

Applied Python, SQL, and Power BI to examine transaction records and identify anomalies related to potential fraud. Created visualizations and indicators to highlight suspicious patterns in the data. Used the findings to support fraud risk decision-making.

Designed a Power BI dashboard with key metrics for sales and profitability. Analyzed performance breakdowns by region, category, and time period. Used the dashboard visuals to support business performance monitoring.

Used SQL to retrieve and analyze customer data for segmentation. Identified customer groups based on purchasing behavior to support marketing targeting decisions. Produced insights to help optimize marketing actions for different segments.

Analyzed retail sales data using Excel, covering over 9,000 rows to understand performance drivers. Built an interactive dashboard to visualize sales indicators and trends. Interpreted the results and suggested improvements based on observed patterns.

Handled customer requests related to cashback, balances, and payment transactions. Performed precise checks to find discrepancies in financial records and worked with internal teams to resolve customer issues within SLA timeframes. Maintained confidentiality of sensitive user data while supporting transaction-related problem solving.