Credit & Capital Markets
Experience assessing institutional fixed-income portfolio exposure, supporting credit committee reporting, and applying financial securities knowledge.
Financial analysis, risk, and Python development
Dana Lewis
Experienced financial analyst and Python developer focused on turning complex financial data into clear decisions, practical tools, and stronger risk insight.
About Me
Finance experience with a builder's mindset.
I am passionate about leveraging technology to drive business insights and improve efficiency in financial services. My background combines credit risk analysis, fixed-income knowledge, business education, and hands-on programming with Python, SQL, JavaScript, HTML, and CSS.
I am currently pursuing a Master of Science in Quantitative Finance at Temple University and preparing as a CFA Program Level II candidate for 2026.
Email: dana.s.lewis@gmail.com
Python & Data Tools
Python, PostgreSQL, Excel, Docker, GitHub, AWS, and data-analysis workflows for modeling, automation, and insight generation.
Valuation & Simulation
Bond pricing, yield analysis, equity valuation, regression, Monte Carlo simulation, and Value-at-Risk modeling.