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.
• 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.
• 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.

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.
• 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.

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.
• 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.

Bs, Mathematical Sciences

Master'S Degree, Operations Research