• Lead the development of predictive financial and analytical models (including stochastic, dynamic, or non-linear systems) using the appropriate statistical methodologies• Lead, participate or support team efforts in loss forecasting analysis• Lead and perform complex qualitative and/or quantitative analysis of credit policies to ensure financial and credit goals are achieved• Develop a deep understanding of industry, corporate, and customer drivers to leverage in optimization of all aspects of our decision strategy and business processes across the credit lifecycle• Perform a leading role on projects and initiatives, working closely with team and corporate stakeholders to understand key business issues and translate them into credit strategy and business solutions

• Performed advanced analytics, including modeling, forecasting, and predictive analytics that deliver recommendations for growth, cost reduction and optimization of operational performance• Acted as lead analytics consultant for solving business questions, building business cases, opportunity analysis, and critical metric development• Drove the creation of, access to, and adoption of tools, dashboards, and reports that provide critical business data to Digital product teams• Worked with sophisticated data structures, manipulated, cleansed data and performed analysis

• Ran models using machine learning techniques to optimize and predict card sales• Performed statistical testing analysis on effectiveness of store level product strategies• Determined the impact of digital marketing efforts with statistical testing techniques• Investigated characteristics of products to enhance modeling efforts

• Developed predictive models for site deployment completion projections using machine learning and probability-based methods • Created daily to weekly workflow automation processes for reports and dashboards• Produced ad-hoc GIS related material• Assisted different project management teams with analytics support for their projects

• This was a hybrid analytics/data management role• Produced linear regression and times series models for various risk assessment inquiries• Performed database management activities using SQL Server• Reviewed policy level reports to ensure quality assurance metrics were met

• Prepared short-term and long-term annual budget forecasts of sales using econometric time series models• Generated monthly business and variance reports for the accounting group• Performed rate case development and analysis activities for proposed changes in utility rates• Developed variance/weather related short-term linear elasticities for monthly revenue estimates• Created a budget tracker to compare actual and projected revenue on a monthly to annual basis• Produced forecasts and analytical analysis to determine if the company was able to meet compliance requirements for five plus years into the future

• Supervised the air quality data assurance section of the bureau• Ran mathematically intensive air emission models using Linux • Handled project documentation and budget duties • Performed database management activities to ensure data met EPA established required criteria• Produced compliance reports that reviewed non-compliant events and suggested corrective measures to mitigate future potential non-compliant events• Provided backup support to the field equipment maintenance team

• Used GIS to run simulations of potential future coastal flooding and subsequent plant migration in North Carolina• Investigated statistical likelihoods of thunderstorm development for specific areas during specific times of the summer in northeast Kansas

Promotion of previously held Technical Analyst position.

• Performed mathematically intensive transmission line optimization modeling studies• Developed hourly wind energy production profiles for specific areas of Texas• Assisted in time series modeling and analysis of natural gas prices• Maintained the company’s internal generation database • Made field visits to select energy sites to monitor site development progress

• Ran linux-based radiation transfer simulations to analyze how solar radiation interacted with mixed-phase (i.e., ice and water) clouds • Served as the instructor of the Introduction to Atmospheric Science Lab course