Meet with clients to understand business needs, define research objectives, identify data sources, and develop analysis plans. Conduct exploratory data analysis using large-scale data sources, producing briefings and reports to communicate key findings to colleagues and clients. Collaborate with cross-functional teams of data scientists and software developers to build data engineering pipelines and data visualization tools. Develop recommendations based on research and analysis, presenting actionable insights to clients. Utilize data mining and mathematical modeling techniques, including clustering, anomaly detection, logistic regression, and decision trees. Employ statistical programming languages such as Python, R, and SQL to analyze and interpret data.

Managed a national portfolio of transportation & staffing credit facilities with ~$1B in commitments. Responsible for overall portfolio quality and risk management. Managed and mentored a team of account executives in portfolio administration.

Managed a portfolio of client relationships with ~$70MM in commitments, primarily in the staffing and transportation industries. Responsible for daily client contact, issue resolution and risk management within assigned loans.Our programs are customized to meet the unique needs of the staffing industry, and allow our customers to accelerate cash flow, improve collections, and control exposure to bad debts.