Brent Matthews

• Assist in development of AWS Data Lake within Global Technology (GT). This will allow GT to utilize data sets and develop machine learning solutions for GT specific task and problems
• Developed Innovation Pipeline for Applied Analytics team which guides ideas/projects through appropriate steps to gather information, evaluate metrics, prioritize portfolio of projects, and move viable projects to development and implementation
• Team member developing AWS Lex Chatbot to enable automation of component monitors utilizing API's; estimated annual cost savings of $57,000
• Developed time series Anomaly Detection models for CPU usage on over 15,000 servers Utilized SARIMA, LSTM, and Fast Fourier Transformations.
• Worked to improve documentation of business unit efforts and practices.

• Led project to update pricing model for commercial general liability lines. Utilized SAS to gather data from multiple datasets within Microsoft SQL and Oracle Servers. Coded rating algorithms, re-rated previous policies, and analyzed hundreds of variables for inclusion into updated model. Created Tableau dashboards to present findings to business areas and collaborated to finalize GLM factors with judgmental adjustments. Finally prepared validation workbooks consisting of Loss Ratio/Factor charts and double lift charts to represent model improvement over previous model. (SAS, Excel, Tableau)
• Develop and maintain Tableau dashboards for an insurance line within Sentry, providing manager details on new policy sales, renewals, and profitability (Tableau, SAS)
• Updated ML models for producer success project by implementing stacking classifier. Improved model ROC/AUC by approximately 0.05. (Python, Scikit-Learn, Pandas, XGBoost)
• Performed data analysis on vendor data to help Sentry's management team identify quality of vendor products with respect to existing lines of business and overall value to the company. (Python, Excel, Tableau)
• Mentored two analytics interns on HR related models dealing with retention and associate success (Python, SAS, Tableau)

• Team member on salesperson success model where I developed models utilizing Random Forests, ADA Boost, XGBoost, Deep Learning/Neural Networks. Also developed GLM models utilizing Emblem Software. Found success in identifying top prospects which improved salesperson's ability to prioritize contacts and focus on prospects with the highest sale probability. (Python, Scikit-Learn, XGBoost, Excel, Emblem, Tableau)
• Utilized natural language processing packages to perform sentiment analysis of salesperson communications, consisting of emails, notes, and phone logs. Utilized this as one component of a producer success model. (Python, NLTK)
• Mentored analytics interns. One project focused on sentiment analysis, researching, and utilizing AWS and Azure sentiment resources. (R, Python, AWS, Azure)

• Reduced traffic section consulting expenses by 50% by reorganizing existing employee duties and priorities.
• Established Highway Safety Improvement Program review committee to attain buy-in across different sections. Resulted in 20% increase in number of safety improvement projects in North Central region
• Performed analytical review of state crash dataset to find significant crash locations. Utilized Python to clean data, create visuals and identify important variables in identifying crash problems.

• Managed highway maintenance operations of 18 counties with $23 million annual budget and performance-based maintenance program of $2.4 million
• Provided support and guidance for structures staff, ensuring that bridge and ancillary structure inspections were completed on time and in accordance with Federal and State inspection guidelines
• Assisted in initiation of statewide urban mowing policy, providing improved aesthetics in urban areas
• Collaborated with statewide team to develop a performance-based maintenance program identifying most equipped county maintenance forces to complete specific work throughout the state.

• Coordinated and facilitated project scoping meetings gathering input from all sections.
• Administered Highway Safety Improvement Program for NC Region and initiated safety improvement projects. Initiated dozens of new projects over 4 plus years.
• Completed programmatic analysis to prioritize projects within budgetary constraints.
• Monitored execution of contract work for compliance with design plans and specifications.

Site development design and construction engineer.

Complete design and specifications for various highway projects.