Ashish Kumar

Drove global claims forecasting for Amazon’s OTC (buyer-raised) and Safe-T (seller-raised) verticals, influencing $2B in annual claims. Collaborated with senior leaders to deliver accurate forecasts, optimize KPIs, and provide actionable risk and opportunity insights. Provided technical leadership to a 27-member finance analytics team, spearheading automation and dashboard development to enhance operational efficiency and business decision-making.

• Developed the Early Alarm System, an automated dashboard that reduced weekly analysis time for senior leadership from 4 hours to 30 minutes.
• Improved long-term OTC claims forecast accuracy, lowering MAPE from 25% to under 10%, enabling better headcount planning for 2,000+ global professionals and earning an “Accolade” for forecast excellence.
• Led monthly forecast preparation and analysis for executive reviews, ensuring data-driven decision support.
• Created a micro-investigation forecasting mechanism to further optimize resource planning and operational performance.
• Built the Fees Variance Dashboard, identifying $2M in under-recovered fees by highlighting discrepancies between actual charges and rate cards.
• Automated analytics for $900MM in annual fees across products, channels, and brands, with tools adopted by category teams for monthly business reviews.
• Delivered SQL and ETL training to 25 finance professionals, reducing dependency and saving 20 man-hours per month.
• Partnered with finance and category stakeholders to establish Out of Country P&L, enabling effective benchmarking between international and domestic operations.

Partnered with senior leadership at a major US bank to drive analytics and automation initiatives across diverse projects. Collaborated closely with auditors and cross-functional product teams to ensure regulatory compliance, design automated reporting frameworks, and oversee both internal and statutory audit processes. Recognized with “Applause Award” and “Spot Award” for exceptional performance.

• Identified and capitalized on analytics opportunities, leading a team to develop and implement impactful data-driven solutions.
• Supported clients in documenting critical audit findings, resulting in a contract extension and new business opportunities.
• Conducted process gap analyses and spearheaded automation efforts, significantly reducing operational costs and improving process efficiency.
• Enhanced client satisfaction by demonstrating flexibility and proactively addressing evolving business requirements.

Served as an Analytics Consultant in the Internal Audit division, leveraging ETL technologies including SAS, Python, SQL, and Tableau for large-scale data analytics. Recognized with a “Spot Award” for outstanding contributions in automation and risk analysis.

• Engineered an automated control rationalization tool, decreasing manual audit investigation time from 25 hours to less than 2 hours and significantly improving audit efficiency.
• Utilized Tableau to analyze extensive datasets, uncovering trends and anomalies through interactive dashboards and visualizations.
• Built and deployed machine learning models in Python to enhance risk identification and classification processes.

Worked as an Analyst in the Audit Assurance practice, collaborating with US Audit teams to perform journal entry testing and financial analytics on General Ledger and Trial Balance data. Twice honored with the “Spot Award” for outstanding contributions.

• Executed data analytics initiatives, including data mining and profiling, to support data quality objectives and drive organizational goals.
• Detected fraudulent transactions and significant misstatements, enabling the finance team to make data-driven, informed decisions.