• Project 1: Contract Forecasting project to create statistical model for estimating quarter revenues
• Devised regression model through Python using contract variables revenue, customer, etc
• Developed 87% accurate regression model to predict contract income and completion date
• Project 2: Data Anomaly Detection project to discover malfunctioning radio products and towers
• Designed Prophet time series model in Python to forecast statistical anomalies in radio traffic
• Engineered notification engine to not only identify anomalies but offer diagnosis and solutions
• Project 3: Workflow Analytics project to identify sub-optimal tasks done during 911 calls
• Analyzed data through Azure and developed workflow analyzer through Python
• Devised ML Script to automatically detect sub-optimal workflows and suggest improvements