Interactive fraud analytics dashboard built using Power BI, Power Query, and DAX to analyze 2,133 payment transactions.

Fraud transaction analysis project using Python, SQLite, Pandas and Matplotlib to identify suspicious transaction patterns

Self-teaching cybersecurity from an Economics + DeFi background. Documenting every lesson. Target: CompTIA Security+.

ML-powered credit card fraud detection system with FastAPI, synthetic data, imbalanced classification, and a Next.js fraud monitoring dashboard

Smart Fraud Guard Wallet is an intelligent fintech mobile application designed to protect users from financial fraud using advanced artificial intelligence and cybersecurity techniques.

Analytical portfolio demonstrating transaction monitoring, judgment-based alert review, and Excel-driven risk analysis across fraud, AML, and KYC workflows, with a focus on regulator-safe decisioning and operational consistency.

Fraud KPI dashboard project using Python and SQL to monitor fraud rate, transaction volume and financial impact.

Power BI dashboard analyzing 61,000+ Supply chain orders across DataCo (2015-2017). Covers sales performance, profitability,delivery operations, fraud detection and strategic recommendations.

🔍💼 Fraud Analysis EDA uncovers patterns and anomalies in fraudulent transactions through comprehensive exploratory data analysis. With visualizations like correlation heatmaps and time-based fraud trends, this project provides actionable insights to mitigate risks and enhance security.

Chargeback risk analysis project using SQL and Python to identify high-risk customers, estimate financial losses and support fraud prevention.

🔍 Analyze transaction data to identify fraud risks, streamline alert reviews, and ensure compliance in AML and KYC contexts using Excel-driven techniques.