•Researched, designed, and provided testing solutions for fixed-income analytics through SQL, Excel, and Python.•Worked closely with product owners and software developers in defining requirements to meet client needs when building new and enhancing existing product offerings.•Established new and improved existing training initiatives to enhance onboarding processes for the use of new employees and current employees of the internal analytics engine.•Key contributor in supporting the LIBOR transition by ensuring accurate and smooth handling of transitioning client assets through market attentiveness, model research, and security testing.

•Relied on BERT machine learning in Python to analyze and classify ESG ratings at a higher frequency through gathering sentiment on new articles. •Collected historical price data on WTI Crude Oil Futures to estimate and input the historical volatility into a Binomial Option Pricing Model built in R.•Conducted stock analysis through the application of CAPM and Fama-French Factor modeling to observe performance and risk impact in R.

•Performed financial analysis for the Boise Parks and Recreation department (BPR) by developing and contributing to financial forecasts and reporting systems operated through Microsoft Excel. •Supported budget development, budget management, and the overall fiscal health of BPR to better inform managers of financial information suitable to their needs in order to make data-driven business decisions.