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A production-ready, real-time machine learning system for cryptocurrency price prediction. Based on lambda architecture, it ingests market data, performs feature engineering for technical indicators, trains predictive models following MLOps best practices
Real-time credit card transaction pipeline built on a Kafka-based Lambda Architecture. Streams transactions for instant fraud validation (geolocation + credit-utilization checks), then reconciles and finalizes them via a batch layer. Python, Apache Kafka, MySQL — models the same stream/batch pattern real payment processors use in production.
Real-time Stream and Batch Processing of Simulated Twitter Data using Apache Kafka and Apache Spark. This project implements a Lambda architecture to efficiently handle large-scale data streams, simulating Twitter API performance. It demonstrates the power of Kafka and Spark in both real-time and batch processing scenarios.