• Built a data mining tool that uses Machine Learning models [SVM, K-means clustering] to analyze Google’s primary logging service traffic

• Project code utilizes models to simulate traffic on the performance testing environment to optimize usage; in production, model predicted request traffic type with ~90% accuracy; led to reduce operational latency

• Created a healthy living and learning environment for students with Resident Fellows and RAs; managed a $100K budget for social activities and dorm maintenance