Rituparna Bhattacharya

About Rituparna Bhattacharya

I currently work with Mission Omega as an Analytics / Performance Analyst, where I track and report fraud detection performance across clients and teams. My work includes KPI analysis, trend monitoring, performance storytelling, and building the visuals and monthly reporting that stakeholders rely on to evaluate results and drive improvements. I’m also assigned to Prove Identity as a Fraud Analyst, supporting analytics that leverage phone-based identity intelligence to reduce fraud and friction.My toolkit includes Excel, Python, SQL, Tableau, and machine learning, and I’m especially interested in projects involving fraud/risk analytics, predictive modeling, and data-driven business strategy.

Experience

1. Analytics Analyst

   Mission Omega

   Nov 2025 — Present · Charlotte, NC, US

   Analytics Analyst / Performance Analyst – Mission Omega (Fraud Services) Nov 2025 – PresentAnalyze month-over-month fraud detection performance, tracking key KPIs and trends to evaluate effectiveness and identify areas for improvement.• Create and maintain all performance visuals (charts, trend views, comparisons) used in client and internal reporting.• Produce monthly baseline performance reports for each client, summarizing outcomes, key movements, and notable drivers.• Conduct team-level performance analysis across different operational/analytics teams, highlighting gaps, best practices, and opportunities to optimize results.• Perform data validation and QA (reconciling metrics, investigating anomalies, ensuring consistency across sources) to ensure reporting accuracy.Fraud Analyst (Client Assignment: Prove Identity) Nov 2025 – Present• Support fraud analytics for Prove, a digital identity and authentication provider known for Phone-Centric Identity™—using phone-based intelligence to help enterprises reduce fraud while keeping verification low-friction for customers. • Analyze fraud signals and outcomes, investigate performance patterns, and contribute insights that improve detection and reduce false positives.• Collaborate with stakeholders to translate analysis into actionable findings, strengthening fraud prevention and operational decision-making.

Education

• Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

  Bachelor's degree, Computer Applications

• Indira Gandhi National Open University

  Master of Computer Applications - MCA

• University of North Carolina at Charlotte

  Master's degree, Data Science And Business Analytics