Machine learning models to predict electrical consumption using weather data and building metadata.
Technologies: Python, PySpark, TensorFlow
Interactive visualization of global development aid spending over time.
Includes country-level analysis and project text analysis.
Implemented a learning router capable of handling ARP requests and dynamically building forwarding tables.
Concepts: SDN, ARP, MAC learning