Data Scientist
2020 - PRESENTThe Energy Authority- Developed an algorithm to detect broken and defective meters based on usage patterns, saving our clients millions of dollars in lost revenue each year.
- Successfully managed multiple projects across multiple clients, from requirements gathering through final product delivery.
- Implemented deep learning neural nets to predict customer behavior and automatically identify specific usage characteristics, which saved our clients millions in maintenance costs while increasing customer satisfaction.
Technologies: Deep Neural Networks, Deep Learning, Data Modeling, Customer Data, Time Series Analysis, Sensor Data, Clients, Project Management, Data Science, Azure DevOps, SQL, Microsoft Power BI, Microsoft Azure, Databricks, Python 3, RSenior Data Scientist
2012 - 2019MWD Trading, LLC- Created models to predict price movements in highly liquid commodities, futures, and power markets, which consistently produced returns in excess of 75% annually.
- Implemented and maintained all internal reporting for business and trade development, including deploying and managing an internal website which provided on-demand reporting using the R Shiny platform.
- Managed financial risks associated with commodities and futures positions held by the firm across all markets and exchanges.
- Developed programs and processes to reduce human evaluation of data and quantify subjective analysis.
- Worked closely with management to provide analysis and data-driven recommendations for business growth and development.
Technologies: Scala, Microsoft Excel, Java, Python, RTeaching Fellow
2010 - 2012Colorado School of Mines- Developed curriculum for and implemented graduate-level statistical computing course taught to incoming graduate students.
- Constructed and taught undergraduate statistics courses focusing on theory and application of traditional statistical techniques and the technologies used to implement them.
- Worked in a team environment to define teaching objectives for undergraduate statistics courses.
Technologies: LaTeX, Linux, SAS, Minitab, MATLAB, R