Rahul R

Dubai,AE

Summary

Data analyst with over 3 years of experience in risk analytics, fraud detection, and data visualization within fintech and e-commerce sectors. Expertise in SQL, Python, Tableau, and Power BI, with a track record of converting complex datasets into actionable insights that enhance business decisions. Committed to leveraging data to improve operational performance and support strategic growth in fast-paced environments.

Overview

years of professional experience

Certification

Work history

Data Analyst

Payok

Dubai, UAE

2025.04 - 2026.04

Analyzed large-scale transaction datasets to identify fraud patterns, anomalies, and compliance risks, improving overall risk visibility
Designed and implemented risk control rules and monitoring mechanisms, enhancing fraud detection efficiency and reducing financial exposure
Extracted, cleaned, and transformed raw data using SQL and Python to support analysis and reporting workflows
Developed interactive dashboards and visual reports using Power BI and Tableau to track key risk metrics, trends, and KPIs
Conducted exploratory data analysis (EDA) to uncover hidden patterns and support data-driven decision-making
Collaborated with cross-functional teams including product, compliance, and operations to optimize risk monitoring systems
Automated recurring reporting processes using Python, reducing manual effort and improving reporting accuracy
Delivered actionable insights and strategic recommendations to stakeholders, supporting business growth and operational improvements
Ensured compliance with AML regulations and internal risk policies through continuous monitoring and analysis

Risk Investigator

Amazon

Bangalore, India

2021.05 - 2023.05

Investigated fraudulent transactions and suspicious account activities across North America, Saudi Arabia, and India marketplaces
Analyzed transaction data, login behavior, device fingerprints, and geolocation data to detect account takeovers (ATO) and fraud patterns
Reduced fraud incidents by 25% by identifying anomalies and improving detection strategies
Performed data analysis on large datasets to identify emerging fraud trends and risk indicators
Maintained 98% accuracy in risk assessments while adhering to strict compliance and operational guidelines
Conducted root cause analysis on fraud cases to improve prevention mechanisms and strengthen system controls
Generated detailed reports and documentation to support audits, compliance checks, and internal reviews
Reviewed customer account activity to detect policy violations, enhancing platform security and user trust
Contributed to process improvements by identifying inefficiencies and recommending data-driven solutions

Education

Bachelor of Technology - Electronics and Communication Engineering

Alliance University

India

Skills

Analysis: SQL querying, Predictive analytics, Statistical modeling, Data analysis, Exploratory Data Analysis (EDA)
Tools: Power BI, Tableau, Database management, Excel proficiency

Programming & Automation: Python programming, Data storytelling, Automation scripting, Data cleaning
Domain Expertise: Risk assessment, Fraud detection, AML Compliance, KPI Reporting, Business intelligence