Project 1: ML / Classification / NLP – Subreddit API analysis Classification modeling of NYC and LA subreddit posts with the goal of revealing the overarching personality of New York and Los Angeles residents. Project 2: ML / AdaBoost Regression – Heisman winner predictor (Group project)Created a model that predicted the top college football players with 80% accuracy as well as the overall champion utilizing AdaBoost. Also modeled Random Forest, SVR and KNN.Project 3: ML / Polynomial OLS / Linear Regression –Ames, Iowa Housing DatasetGenerated business insight and recommendations with ML models for house flippers utilizing an 81 column dataset on Ames, Iowa real estate metrics.Project 4: Statistical analysis – SAT/Census data

Oversaw database management and multi-user collaboration for operationally critical programs such as Emergency Management, Fire and Emergency Services, and Safety for eighteen commands.

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Coordinated resources between engineers, city representatives, military leaders, and system support for the installation and operation of an underwater acoustic training environment. Worked as a technical liaison between the military and systems engineers.

Utilized aviation safety surveys to analyze methods, practices, criteria and regulations to discover unsafe areas utilizing Python programming language and analytics. Coordinated and implemented aviation safety plans, programs and regulations. Key Achievements:• Informed higher authority on findings, conclusions and remedial recommendations for improving risk management utilizing Python analytics and EDA.• Developed and implemented an aviation safety program management system for 11 air stations and 19 outlying fields within the Southeast region.

• Utilized analytical tools to direct the movement of over 1,100 passengers, 2,230 pounds of mail, and 75,650 pounds of cargo. • Conducted analysis with a 15 person watch team disseminating accurate and timely information concerning fuel states, weather and airfield status. • Daily executed more than 8,260 flight hours, 2,700 flight missions, 2,350 aircraft carrier arrested landings, and airspace with multiple controlling agencies and countries during a six-month combat deployment.

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• Collected, formatted, prepared, and presented data obtained during more than 100 flights and over 1000 flight hours on intel gathering missions. • Directed a Combat Aircrew using advanced weapon systems and technology. Contributed to the disruption and seizure of 16 tons of narcotics, totaling $1.3 billion in Central America as well as 45 missions/400 flight hours while in the Middle East.

Naval Flight Officer