Developed six complex machine learning algorithms to provide actionable marketing insights for Direct Energy’s acquisition and retention campaigns.• Created a machine learning, look-alike algorithm to determine which of the 50,000,000+ customers in the energy footprint should be targeted for direct mail advertising• Rebuilt a Return on Marketing Investment (ROMI) model to attribute energy sales to the $10,000,000+ spent on different marketing channels• Developed a new propensity… Show more Developed six complex machine learning algorithms to provide actionable marketing insights for Direct Energy’s acquisition and retention campaigns.• Created a machine learning, look-alike algorithm to determine which of the 50,000,000+ customers in the energy footprint should be targeted for direct mail advertising• Rebuilt a Return on Marketing Investment (ROMI) model to attribute energy sales to the $10,000,000+ spent on different marketing channels• Developed a new propensity model to properly identify which of the 100,000+ customers in Alberta are likely to churn, triggering target retention efforts• Identified Wal Mart locations in Ohio and BJ’s Wholesale Clubs likely to have success selling retail energy using a machine learning model Show less

Utilized cloud computing, machine learning, data analysis for modeling predictive risk assessment. Responsible for teaching upper level statistics, data analysis, and GIS courses. • Reduced biases in land surface model estimates of soil moisture by 700% through assimilation of high-resolution satellite data• Consulted as software developer for a power company responsible for 14,000,000 people by building a machine learning (Random Forest) algorithm to operationally predict severe… Show more Utilized cloud computing, machine learning, data analysis for modeling predictive risk assessment. Responsible for teaching upper level statistics, data analysis, and GIS courses. • Reduced biases in land surface model estimates of soil moisture by 700% through assimilation of high-resolution satellite data• Consulted as software developer for a power company responsible for 14,000,000 people by building a machine learning (Random Forest) algorithm to operationally predict severe weather-related power outages• Lowered modeling error for hurricane related power outages by 20% by developing a predictive power grid outage model• Awarded $100,000 National Science Foundation grant to develop software algorithms to assess rainfall associated with Hurricane Harvey for improving risk assessment• Collaborated with scientists to determine that a Texas evapotranspiration network would provide $25+ million worth of benefits for Texas agriculture• Partnered with USDA/NRCS to develop improved annual planting zones in Texas Show less

Developed risk management models and utilized technical writing ability to secure multiple grants and write multiple publications. Maintained several high-resolution big data sets and mentoring numerous students doing undergraduate research. • Awarded $510,000 NOAA grant to develop software platform to integrate improved data into a NASA modeling framework, resulting in a promotion to Research Assistant Professor• Collaborated with another University to build the National Soil… Show more Developed risk management models and utilized technical writing ability to secure multiple grants and write multiple publications. Maintained several high-resolution big data sets and mentoring numerous students doing undergraduate research. • Awarded $510,000 NOAA grant to develop software platform to integrate improved data into a NASA modeling framework, resulting in a promotion to Research Assistant Professor• Collaborated with another University to build the National Soil Moisture Network database (http://nationalsoilmoisture.com/) with several thousand weather stations and several gridded, interpolated products.• Mentored and motivated undergraduate students in research that influenced several students to pursue graduate degrees Show less

Created GIS maps still used for risk assessment and data visualization of drought indicators for the state of Texas.• Headed Texas drought calls, and advised on drought management strategy for the state of Texas, including the disbursement of billions of federal aid for the state of Texas• Improved accuracy in distributing billions of federal aid for the state of Texas by using big data, GIS, and statistical analysis to improve a drought monitoring product• Revitalized the Texas… Show more Created GIS maps still used for risk assessment and data visualization of drought indicators for the state of Texas.• Headed Texas drought calls, and advised on drought management strategy for the state of Texas, including the disbursement of billions of federal aid for the state of Texas• Improved accuracy in distributing billions of federal aid for the state of Texas by using big data, GIS, and statistical analysis to improve a drought monitoring product• Revitalized the Texas State Climatologist website (http://climatexas.tamu.edu/), redesigning data visualization techniques to include statistical and informational graphics Show less