Papithotti Baby

About Papithotti Baby

I am a data-driven Risk & Fraud Analyst with 3+ years of experience at Amazon, working across transportation analytics, audit, and fraud risk within high-volume operations.In my current role, I analyze large-scale logistics and transaction data to identify fraud patterns, operational risks, and SLA breaches across first mile, middle mile, and last mile delivery. I specialize in uncovering hidden inefficiencies and anomaly patterns that impact cost, performance, and customer experience.I have hands-on experience in SQL, Advanced Excel, and Power BI, using data to perform root cause analysis, detect suspicious behaviors, and build dashboards for real-time monitoring of risk indicators.Key Highlights:• Analyzed 10K+ records/month to identify delay patterns and fraud signals• Investigated anomalies across vendor, hub, and delivery operations• Built dashboards to track SLA performance, escalations, and risk metrics• Conducted audit analysis to identify recurring compliance gapsI am currently seeking opportunities in Risk Analyst, Fraud Analyst, or Data Analyst roles where I can leverage data to drive decision-making, detect risks, and improve operational efficiency.

Experience

1. Risk Analystrisk & Fraud Analyst Sql Power Bi Logistics Analytics

   Amazon

   Jun 2023 — Present · Bengaluru, IN

   Amazon | Bengaluru, IndiaJune 2023 – PresentPartnered with Operations and Safety stakeholders to gather business requirements and translate them into data-driven dashboards, reports, and workflows, supporting compliance across 6 countries.Built and deployed Root Cause Analysis (RCA) dashboards using SQL, Excel, and Power BI, reducing repeat operational violations by 18% and improving customer and delivery partner experience.Conducted A/B testing on trip scheduling logic to evaluate operational changes, resulting in a 7% improvement in SLA adherence and better last-mile delivery efficiency.Analyzed operational and performance data to identify trends, risks, and process gaps, enabling teams to take actionable, data-backed decisions.Presented insights and recommendations to cross-functional stakeholders, driving adoption of optimized processes and alignment with business goals.Automated recurring analysis and reporting workflows using Excel and Python, reducing manual effort and improving turnaround time.

Education

• Krupanidhi christ convent and high school

  Schooling , All

• Krupanidhi pre university college

  PUC, Science

• PES University

  Bachelor's degree, Electronics and Communications Engineering