From 67e2ff5e891e4d78abaed27c57774fb98dcc85cd Mon Sep 17 00:00:00 2001 From: Tyler Hoang Date: Mon, 15 Jun 2026 23:19:31 -0700 Subject: refresh --- index.html | 1964 +++++++++++++----------------------------------------------- 1 file changed, 419 insertions(+), 1545 deletions(-) mode change 100755 => 100644 index.html (limited to 'index.html') diff --git a/index.html b/index.html old mode 100755 new mode 100644 index 8003ee4..f9d70d3 --- a/index.html +++ b/index.html @@ -4,1620 +4,494 @@ - Thuy (Tyler) Hoang - Finance & Analytics - - + Thuy (Tyler) Hoang — Finance & Analytics + + - + - + - + +
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SESS OPEN · UTC-08
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$TYLERCFA L1 · MSFA
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Finance & Analytics

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Thuy
(Tyler)
Hoang

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Finance professional, CFA Level I candidate, and MS Financial Analytics candidate building a strong edge in valuation, markets, and investor-focused analytics.

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- CFA® Level I Candidate - FINRA SIE Certified - JPMorgan Chase +
+ CSULB · MSFA + JPMORGAN CHASE + ASSET MGMT
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Thuy (Tyler) Hoang.
Finance, modeled.

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Finance professional, CFA Level I candidate, and MS Financial Analytics candidate. Building an edge in valuation, market structure, and investor-focused analytics — with code that holds up to scrutiny.

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- Tyler Hoang -
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- Expected - Aug 2026 -
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- Focus - Asset Mgmt -
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- Program - MSFA -
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RESEARCH_NOTE / 2026-Q2● ACTIVE
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TICKER$TYLER
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SECTORAsset Management
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STATUSSEEKING · AM / RESEARCH
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CREDENTIALSCFA L1 · SIE
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PROGRAMMSFA · CSULB · Aug'26
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GPAs3.75 / 3.75 / 4.00
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UPDATED 2026-06-16v2.1
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Currently Seeking

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Targeting high-trust roles in asset management, investment research, and quantitative finance where rigorous analysis and strong judgment are valued.

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Selected Focus Areas

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i. Equity Research
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ii. Fixed Income
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iii. Valuation
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iv. Quantitative Analysis
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v. Financial Modeling
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About

background.md
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> Finance professional pursuing my Master of Science in Financial Analytics at California State University, Long Beach, with an expected graduation of August 2026. CFA Level I candidate with a strong interest in asset management, investment research, and market-driven decision-making.

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My background combines client-facing banking and branch operations at JPMorgan Chase — internal controls, cash management, operational compliance — with quantitative financial modeling and academic work in fixed income, derivatives pricing, machine learning, and valuation.

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I bring analytical depth and an execution mindset — comfortable with financial statements, market data, and the tools that make research faster. FINRA SIE certified. Fluent in English and Vietnamese.

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About Me

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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.

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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.

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I bring analytical depth and an execution mindset — comfortable with financial statements, market data, and the tools that make research faster. I also hold the FINRA SIE certification and am fluent in both English and Vietnamese.

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CFA
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Level I Candidate
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3.75
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CSULB GPA
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3.75
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CSUF GPA
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4.0
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OCC GPA
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CFA · Level I
CAND'26
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CSULB GPA
3.75
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CSUF GPA
3.75
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OCC GPA
4.00
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Certifications
SIE
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Languages
EN · VI
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Prism

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- Prism logo -
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Prism
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Financial Analysis Dashboard — Spring 2026
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Prism — Featured Project

spring_2026
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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.

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Why It Matters
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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.

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+ PRSM +

Investor-focused financial analysis dashboard

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SPRING 2026 · v0.4 · LIVE
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- Prism overview dashboard +
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Compresses the research workflow into one place: live market data, financial statements, self-computed valuation ratios, comparable-company analysis, options activity, insider trades, SEC filings, and news — from initial idea to underwriting in one interface.

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The valuation layer handles edge cases explicitly: non-meaningful P/E, negative free cash flow in DCF, and accounting-driven ratio distortions. Output is usable in real analysis, not just visually impressive.

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- Prism valuation dashboard - Prism insiders dashboard +
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01

Research Workflow

Move from idea generation to underwriting without bouncing across five tools.

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Valuation Engine

DCF, EV/EBITDA, and comps with explicit handling for negative earnings, EBITDA, cash flow edge cases.

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03

Fundamentals

Financial statements, key ratios, historical views to spot business quality and trend changes.

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04

Options & Positioning

Options flow, volatility context, insider activity — fundamental story vs. positioning.

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Filings & Catalysts

SEC filings and company disclosures, with direct EDGAR access for primary-source review.

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Market Context

Indices, rates, volatility, commodities, and news for the macro backdrop.

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- Stack - Python - Streamlit - yfinance - pandas - Plotly - SEC EDGAR API - Nginx - systemd -
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Research Workflow
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Built to move from idea generation to underwriting quickly by keeping core research inputs in one interface.
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Valuation Engine
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DCF, EV/EBITDA, and comps with cleaner bridge logic and explicit handling for negative earnings, EBITDA, and cash flow edge cases.
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Fundamentals
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Financial statements, key ratios, and historical views designed to make business quality and trend changes easier to spot.
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Options & Positioning
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Options flow, volatility context, and insider activity help surface how positioning lines up with the fundamental story.
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Filings & Catalysts
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SEC filings and company-specific disclosures are easy to scan, with direct EDGAR access for primary-source review.
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Market Context
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Indices, rates, volatility, commodities, and news add the macro backdrop needed to interpret single-name moves.
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+ pythonstreamlityfinancepandasplotlysec-edgar-apinginxsystemd
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Other Projects

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Other Projects

academic_work.log
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Fixed Income · Credit Analysis
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Boeing Credit & Financial Statement Analysis
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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.

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- Bloomberg - Credit Analysis - Fixed Income -
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Boeing Credit & Financial Statement Analysis

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FIXED INCOME · CREDIT · FALL 2025
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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. Forward-looking narrative on capital structure and refinancing risk.

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Machine Learning · Time Series
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WMT Stock Price Prediction with LSTM
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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.

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- Python - LSTM - Time Series -
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- Spring 2026 - View Code -
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BLOOMBERGCREDIT
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02
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WMT Stock Price Prediction with LSTM

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MACHINE LEARNING · TIME SERIES · SPRING 2026
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Built a Long Short-Term Memory (LSTM) neural network in Python to forecast Walmart (WMT) stock prices using historical market data. Evaluated with RMSE; visualized predicted vs. actual to assess accuracy and trend-following behavior.

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Derivatives · Stochastic Calculus
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Monte Carlo Simulation — Derivatives Pricing
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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.

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- Monte Carlo - GBM - Options Pricing -
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- Spring 2026 -
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PYTHONLSTM
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Monte Carlo Simulation — Derivatives Pricing

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DERIVATIVES · STOCHASTIC CALCULUS · SPRING 2026
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Modeled asset price dynamics using Geometric Brownian Motion (GBM) to simulate thousands of price paths and estimate option payoffs. Validated outcomes under risk-neutral pricing.

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Valuation · Financial Modeling
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Quantitative Company Analysis
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Developed advanced spreadsheet models for financial statement analysis, ratio benchmarking, and cash flow forecasting. Produced DCF valuation scenarios under base, optimistic, and downside cases.

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- DCF - Forecasting - Excel Modeling -
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- Fall 2025 -
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MONTE CARLOGBM
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04
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Quantitative Company Analysis

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VALUATION · FINANCIAL MODELING · FALL 2025
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Developed advanced spreadsheet models for financial statement analysis, ratio benchmarking, and cash flow forecasting. Produced DCF valuation scenarios under base, optimistic, and downside cases.

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DCFEXCEL
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Skills

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Programming & Tools
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  • NumPy
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  • TensorFlow / Keras
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  • statsmodels
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  • Jupyter
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  • Linux
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  • Git
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Finance & Analysis
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  • Advanced Excel
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  • Bloomberg Terminal
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  • DCF Valuation
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  • Comparable Companies
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  • Fixed Income
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  • Derivatives
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  • Financial Statement Analysis
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  • Credit Analysis
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Quantitative Methods
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  • OLS Regression
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  • Factor Models
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  • LSTM / GRU
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  • Time Series
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  • CAPM / Beta Estimation
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Certifications & Languages
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  • CFA® Level I Candidate
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  • FINRA SIE
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  • English (Native)
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  • Vietnamese (Fluent)
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Skills

stack.json
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// programming & tools

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  • python ●●●●●
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  • pandas / numpy ●●●●●
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  • scikit-learn ●●●●○
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  • tensorflow / keras ●●●○○
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  • statsmodels ●●●○○
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  • jupyter · linux · git ●●●●○
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// finance & analysis

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  • advanced excel ●●●●●
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  • bloomberg terminal ●●●●●
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  • dcf / comps ●●●●●
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  • fixed income ●●●●○
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  • derivatives ●●●○○
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  • credit analysis ●●●●○
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// quantitative methods

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  • ols regression ●●●●●
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  • factor models ●●●○○
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  • lstm / gru ●●●○○
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  • monte carlo ●●●●○
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  • stochastic calculus ●●●○○
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  • capm / beta ●●●●○
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Resume

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Academic background, professional experience, and technical skills across finance, analytics, valuation, and investor-focused product work.

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  • M.S. Financial Analytics — CSULB (Expected Aug 2026)
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  • B.A. Business Administration / Finance — CSUF
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  • Associate Banker, JPMorgan Chase
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  • CFA® Level I Candidate — Aug 2026
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  • FINRA SIE Certified
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  • Python, Advanced Excel, Bloomberg Terminal
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Resume

credentials.log
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M.S. Financial Analytics

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CSULB · California State University, Long Beach
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Expected Aug 2026
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Coursework in fixed income, derivatives pricing, machine learning, and valuation.

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B.A. Business Administration / Finance

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CSUF · California State University, Fullerton
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Completed
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Concentration in finance with quantitative methods.

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Associate Banker

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JPMorgan Chase
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Current
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Client-facing banking and branch operations: internal controls, cash management, operational compliance.

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Certifications & Tools

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CFA® L1 Candidate · FINRA SIE
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Python · Advanced Excel · Bloomberg
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Self-computed valuation, factor models, and quant research tooling.

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Contact

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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.

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Contact

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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.

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- Thuy (Tyler) Hoang - © 2026 · tylerhoang.xyz -
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