Joshua Sung

Senior Consultant @Booz Allen Hamilton

McLean, VA, US

Developed a data strategy to integrate data sources across the Department of the Air Force into a carefully chosen data platform, Envision- Created a Pythonic code which improved GRAPES, an application that delivers insights using military rations and inventory data for the Defense Logistics Agency (DLA)- Developed and maintained 4+ pipelines with ingested data from DLA from 10+ data sources, which delivers insights daily- Enhanced the efficiency of decision-making for DLA by refining the data representation in GRAPES- Engaged in 6 weeks, 40 hours/week development course- Acquired experience with Python programming, statistics, data visualization, unsupervised learning, supervised learning, Matplotlib, Seaborn, NumPy, and Pandas- Learned to implement and evaluate predictive models including Random Forest, Logistic Regression, Linear Regression, and Support Vector Machines- Learned to implement various unsupervised learning methods including K-Means Clustering, DBSCAN, and hierarchical clustering- Presented a capstone project to predict an outcome of a National Hockey League game using classification models.