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• for Our Capstone Project, MY Team Created an Interactive Web Application That could Incorporate Supervised Machine Learning Models to Predict A Room'S Occupancy Level Based on Real-Time Sensor Data. Our Group Collected the Majority of the Data Using A Raspberry PI 3, While Other Devices, Such as A Motion Sensor and Camera, were Added Later on as the Team Experimented with Potential New Features to Improve the Model. for MY Part of the Project, i was Responsible for Cleaning the Data, Exploratory Data Analysis, and Building the Models. the Final Structure of Our Dataset Allowed ME to Experiment with Both Supervised Classification and Regression Machine Learning Models; However, Classification Models Consistently Proved Superior in Their Ability Generalize to Unseen Data.Coursework Included: Software Engineering, Data Sources &Amp; Storage, Data Ingestion &Amp; Wrangling, Statistics, Machine Learning, Visual Analytics, and Applied Data Science Show Less
• Activities and Societies: PI Sigma Alpha National Political Science Honorary Society Coursework: Civil Society and Public Policy, Cost-Benefit Analysis of Public and Environmental Policies, Data Analysis and Modeling for Public Affairs, Energy Policy, Law and Public Affairs, Public Finance and Budgeting, Public Management Economics, Public Program Evaluation, Statistical Analysis for Effective Decision Making
• Activities and Societies: PI Alpha Alpha Honor Society; 2007 Kent State Distinguished Student Leadership Award Coursework: Government-Business Relations, International Economic Relations, International Organizations and Law, Russian Politics, Terrorism Seminar, U.S.-Latin American Relations