Finance & Analytics
Finance professional, CFA Level I candidate, and MS Financial Analytics candidate building a strong edge in valuation, markets, and investor-focused analytics.
Currently Seeking
Targeting high-trust roles in asset management, investment research, and quantitative finance where rigorous analysis and strong judgment are valued.
Selected Focus Areas
Background
I'm a finance professional pursuing my Master of Science in Financial Analytics at California State University, Long Beach, with an expected graduation of August 2026. I'm also a CFA Level I candidate with a strong interest in asset management, investment research, and market-driven decision-making.
My background combines client-facing banking and branch operations at JPMorgan Chase — including internal controls, cash management, and operational compliance — with quantitative financial modeling and academic work in fixed income, derivatives pricing, machine learning, and valuation.
I bring both analytical depth and execution mindset: I can work with financial statements, translate market information into actionable insight, and build tools that make analysis faster and sharper. That shows up in Prism, the investor-focused dashboard I built to streamline company research, valuation, and market context into one workflow. I also hold the FINRA Securities Industry Essentials (SIE) certification and bring fluency in both English and Vietnamese to client and professional relationships.
Featured Project
Prism is an investor-focused financial analysis dashboard I built to compress the research workflow into one place. It brings together live market data, financial statements, self-computed valuation ratios, comparable-company analysis, options activity, insider trades, SEC filings, and news so a user can move from initial idea to real underwriting faster. I also engineered the valuation layer to handle edge cases cleanly — including non-meaningful P/E, negative free cash flow in DCF, and messy accounting-driven ratio distortions — so the output is more usable in real analysis, not just visually impressive.
Prism turns scattered analyst work into a single workflow: evaluate the business, check valuation, review options and insider activity, scan filings, and understand market context without bouncing across five different tools.
Academic Work
Analyzed Boeing's debt maturity schedule, leverage ratios, and interest coverage using Bloomberg, quantifying the credit risk premium embedded in bond yields relative to Treasuries. Synthesized findings into a forward-looking narrative on Boeing's capital structure and refinancing risk.
Built a Long Short-Term Memory (LSTM) neural network in Python to forecast Walmart (WMT) stock prices using historical market data. Evaluated model performance using RMSE and visualized predicted vs. actual prices to assess accuracy and trend-following behavior.
Modeled asset price dynamics using Geometric Brownian Motion (GBM) to simulate thousands of price paths and estimate option payoffs in Python. Applied stochastic calculus concepts to validate outcomes under risk-neutral pricing.
Developed advanced spreadsheet models for financial statement analysis, ratio benchmarking, and cash flow forecasting. Produced DCF valuation scenarios under base, optimistic, and downside cases.
Technical & Domain
Experience & Credentials
Academic background, professional experience, and technical skills across finance, analytics, valuation, and investor-focused product work.
Get in Touch
I'm actively pursuing opportunities in asset management, investment research, and quantitative finance. If you're looking for someone who combines market judgment, analytical rigor, and strong execution, let's talk.