Aditya Mukherjee

Conducted deep data analysis on 20+ datasets using R and SQL, generating actionable insights that directly informed strategic business decisions.

Developed and deployed interactive Power BI dashboards, significantly increasing user engagement by 30% and improving data accessibility.

Optimized SQL queries, boosting data accuracy by 15% and accelerating execution speed by 25%, ensuring robust data infrastructure.

Automated critical reporting workflows, resulting in a 20% reduction in manual effort and substantial efficiency gains.

Strengthened data validation processes, achieving 100% regulatory compliance and facilitating early project delivery through effective cross-functional collaboration.

Engineered a comprehensive fraud management system that successfully reduced fraudulent activities by 30%.

Accelerated system performance by decreasing query run time by 25% through advanced validation techniques.

Boosted fraud management efficiency by 20% by optimizing monitoring systems and streamlining processes.

Streamlined fraud monitoring processes, cutting manual intervention by 40% and improving operational efficiency.