PayGuard Streaming Fraud Detection is an end-to-end real-time fraud monitoring project that simulates card transactions with Python and Kafka, processes them through Databricks Bronze/Silver/Gold pipelines, generates fraud and high-value transaction alerts, sends email notifications, and visualizes insights in a Lakeview dashboard.
Predicting online news popularity using classical and ensemble ML models on Spark
End-to-end fintech transaction monitoring pipeline processing 6.3M mobile money transactions in Databricks. Computes daily/weekly KPIs, evaluates 4 explainable risk triggers, and delivers automated Telegram alerts via n8n.
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