Implemented a simple IPv4 router using Mininet and POX, including ARP handling, TTL decrementing, longest-prefix matching, and custom firewall rules to control traffic between hosts.
Show on GitHubBuilt an end-to-end machine learning pipeline to predict high-severity power outages using real U.S. grid and socioeconomic data, performing data cleaning, exploratory analysis, missingness assessment, hypothesis testing, feature engineering, and model tuning
Show on GitHubAnalyzed shelter animal intake data to understand factors influencing adoption speed. Conducted data cleaning, exploratory analysis, missingness assessment, and hypothesis testing, then built and evaluated machine learning models to predict rapid adoption while examining fairness across animal groups.
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