Real-Time Orders Analytics Pipeline
This project explores what a real streaming data pipeline feels like end-to-end. Uses Kafka + Spark Structured Streaming + Parquet + DuckDB + FastAPI + Grafana to model a practical data flow.
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This project explores what a real streaming data pipeline feels like end-to-end. Uses Kafka + Spark Structured Streaming + Parquet + DuckDB + FastAPI + Grafana to model a practical data flow.
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Predicted whether the booster rocket of Falcon9 will land using data from SpaceX API and Wikipedia (through web scraping)
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Food Image Classification with EfficientNetV2B0: Achieving 74.33% accuracy across 101 classes using TensorFlow dataset and optimized preprocessing techniques.
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Analyzing Driver Performance in Different Tire Compounds and Stints: Regression analysis of lap times reveals insights into driver performance and variations throughout the race.
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Developed an interactive dashboard with yearly Airline Performance report and Airline Delay Report from 2005 to 2020
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Created a Multi-Layered Perceptron Neural Network Model to classify images of clothing
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Predicted the price of NYC properties using ensemble model
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Analyzing stock prices and revenue trends for Tesla and GameStop to identify correlations and patterns.
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