Emily Forney Email & Phone Number

Cary, Nc, Us

Reporting to the Senior Manager of Analytical Consulting on a 10-person team within the SAS Consulting division, responsible for 4 to 5 concurrent projects across water and energy utility forecasting as well as retail demand planning.• Led the development of an end-to-end automated technical solution to replace a historically manual electric load forecasting process at a large municipal utility in Southern California, reducing execution time from weeks to days.• Contributed to the development of a new Human Resources focused product by building machine learning models to predict employee attrition, supporting strategic workforce planning during the "Great Resignation" period.• Enhanced the energy price forecasting models for a major utility company in the South-Central United States, improving model accuracy, flexibility, and adaptability as the utility continues to grow.• Provide ongoing support and mentorship to clients and junior team members, serving as a trusted advisor and subject matter expert in SAS technologies and analytical methodologies.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEData Science | Machine Learning | Forecasting | Analytics | Automation | SAS | Python | SQL | Time Series Modeling | Predictive Modeling | Algorithm Development | Patent Development | Utility Analytics | Electric Load Forecasting | Process Automation | Data Cleansing | Data Transformation | Statistical Analysis | Random Forest | SAS Visual Forecasting | Simulation | Outlier Detection | Feature Engineering | SAS STAT | SAS ETS | SAS Forecasting Suite | SAS Energy Forecasting | SAS Visual Analytics | SAS Macro Programming | Linux | Data Engineering | Dashboard Creation | Scenario Analysis | Proof of Concept | Model Optimization | Weather Variable Integration | Time Series Analysis | Configuration Simulation | Operations Research | Mathematics | Technical Consulting | Project Leadership | Client Engagement | Mentoring | Innovation | Continuous Improvement

Cary, Nc, Us

Reporting to the Senior Manager of Analytical Consulting on an 8-person team within the 150-person Analytical Consulting and Enterprise Solutions organization, responsible for implementing and optimizing SAS solutions primarily for utility and energy forecasting clients. • Led a project focused on estimating COVID-19 impacts on electric load usage for a major electric cooperative.• Developed a proof of concept for a large utility company to improve near-term energy demand forecasting accuracy.• Developed an electric load data anomaly detection algorithm, which became a key component of a patented process (US Patent 10,418,811 - "Electric Power Grid Supply and Load Prediction using Cleansed Time Series Data").• Invited by an energy client to co-present at the 2019 Electric Utilities Forecasters Forum, showcasing the team’s solution to handle lags and gaps in billing quality data enabling downstream models to operate reliably.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEData Science | Machine Learning | Forecasting | Analytics | Automation | SAS | Python | SQL | Time Series Modeling | Predictive Modeling | Algorithm Development | Patent Development | Utility Analytics | Electric Load Forecasting | Process Automation | Data Cleansing | Data Transformation | Statistical Analysis | Random Forest | SAS Visual Forecasting | Simulation | Outlier Detection | Feature Engineering | SAS STAT | SAS ETS | SAS Forecasting Suite | SAS Energy Forecasting | SAS Visual Analytics | SAS Macro Programming | Linux | Data Engineering | Dashboard Creation | Scenario Analysis | Proof of Concept | Model Optimization | Weather Variable Integration | Time Series Analysis | Configuration Simulation | Operations Research | Mathematics | Technical Consulting | Project Leadership | Client Engagement | Mentoring | Innovation | Continuous Improvement

Cary, Nc, Us

Reporting to the Manager of Analytical Consulting, on an 8-person team within the 50-person Consulting and Professional Services organization, responsible for implementing and optimizing SAS solutions for energy clients.• Led the implementation, configuration, and refinement of SAS Energy Forecasting for a major electric cooperative in the Mid-Atlantic region, achieving a 3% margin of error for out-of-sample forecasts. Developed custom modules incorporating humidity, cloud cover, and wind speed data to enhance prediction accuracy.• Designed and built a model configuration simulation tool using SAS Macro programming, enabling rapid testing of 30+ model configurations across defined historical datasets for as many time series as needed. This automation reduced development time from weeks to days, significantly improving project efficiency and model robustness.AREAS OF EXPERTISE AND TECHNOLOGY PROFILEData Science | Machine Learning | Forecasting | Analytics | Automation | SAS | Python | SQL | Time Series Modeling | Predictive Modeling | Algorithm Development | Patent Development | Utility Analytics | Electric Load Forecasting | Process Automation | Data Cleansing | Data Transformation | Statistical Analysis | Random Forest | SAS Visual Forecasting | Simulation | Outlier Detection | Feature Engineering | SAS STAT | SAS ETS | SAS Forecasting Suite | SAS Energy Forecasting | SAS Visual Analytics | SAS Macro Programming | Linux | Data Engineering | Dashboard Creation | Scenario Analysis | Proof of Concept | Model Optimization | Weather Variable Integration | Time Series Analysis | Configuration Simulation | Operations Research | Mathematics | Technical Consulting | Project Leadership | Client Engagement | Mentoring | Innovation | Continuous Improvement

Bs, Mathematical Sciences

Master'S Degree, Operations Research