Aniket Avasarkar

About Aniket Avasarkar

I’m an analytics professional with 7+ years of experience delivering business impact through data across AR/AP, credit risk, refunds, forecasting, insurance data, payment systems, and sales performance.I’ve built dashboards and reporting systems that helped manage over $1B in business operations—reducing payment delays by 40%, recovering $5M+ in lost revenue, speeding up refunds, and improving forecasting accuracy.My experience spans industries like TravelTech, Insurance, Electronics, and Telecom, supporting teams across finance, operations, risk, compliance, and customer experience. I’ve helped these teams move from manual, reactive reporting to automated, real-time insights that drive faster decisions.I work with tools like SQL, Tableau, BigQuery, Oracle, Python, and Excel to build scalable, self-serve analytics systems that are accurate, fast, and tailored to real business problems—not just dashboards for the sake of it.I’m actively exploring analytics roles—data, business, product, or operations—where I can bring this experience to help teams reduce delays, increase visibility, and solve high-impact problems. Open to remote, hybrid, or in-office roles.

Experience

1. Data Analyst

   Priceline

   Feb 2024 — Present · Mumbai, IN

   Leading analytics across AR/AP, credit risk, refunds, and payments—building systems that track $2.5B+ in receivables and $100M+ daily transactions, reduce risk, recover lost revenue, and speed up cash flow.• Built AR aging dashboards across partners; reduced DSO by 40%(45 → 27 days).• Automated flight refund tracking ($15M+/month); cut processing cycle from 14 days to 3.• Flagged $5M+ in at-risk receivables through credit risk alerting; enabled early collections and prevented write-offs.• Recovered $800K in missed billings by integrating fragmented Oracle data from hotel, flight, and car rental feeds.• Built real-time dashboard tracking $100M+ in PSP transactions across 15+ providers; reduced settlement delays by 80%.• Built automated workflows using Python and SQL to monitor refunds, PSP settlements, and high-risk accounts; enabled real-time alerting and reduced manual follow-ups by 80%.• Developed SQL-based AP controls preventing $5M+ in duplicate payments across 200K+ vendor transactions.Tools: SQL, Tableau, Oracle, Excel, Python, BigQuery, GCPImpact: Accelerated cash flow, prevented revenue loss, automated high-risk processes, and improved visibility for finance and operations teams.

Education

• Rutgers Business School

  Master's degree, Information Technology and Analytics