Brandon Robinson

Driven by a results-focused approach, I enhanced recoveries at Digital Insurance Services through meticulous statute monitoring and strategic subrogation demands. Leveraging my analytical thinking and exceptional communication, I improved client satisfaction and financial outcomes. My expertise spans from detailed financial analyses to efficient logistics coordination, embodying adaptability and a commitment to excellence.

• Portfolio Theory and Management, Widener University, PA, Investment Portfolio Project, 01/22 - 05/22, Constructed and analyzed a stock market portfolio, Set specific goals and objectives to meet by the deadline of the portfolio, Determined how much risk and reward may be deemed appropriate for the portfolio by addressing risk tolerance, Investigated the Total Economic Analysis at the time of investment to gain a better understanding of how firms are affected by the economy, Chose a minimum of 25 individual stocks to invest into a portfolio based on goals, risk, and economic outlook, Continuously keeping the portfolio up to date with various buying, selling and shorting techniques learned in class, Conducted a Portfolio Performance Analysis on our stocks and presented to the class via oral presentation and written report
• Financial Analytics, Widener University, PA, Risk Analytics Group Project, 08/22 - 12/22, Implemented a credit scorecard for a real-world portfolio of loans used from a database acquired from Prosper.com, an online lending marketplace, Working in a group setting to analyze Debt Consolidation loans out of all outstanding Prosper loans, Preparing and altering multiple lines of code in a SAS Studio environment to prepare the dataset for SAS Enterprise Miner, Assigning data roles and variables for each item in the dataset within an Enterprise Miner project, Analyzing tables, charts and graphs based on relevant data statistics in SAS Enterprise Miner, Viewing a completed credit scorecard and analyzing a variety of questions based on the results computed in the scorecard, Estimation of financial losses based on the findings in the group's SAS project, Giving appropriate evaluations and interpretations of data through a series of questions relevant to the topic of the project and its data