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Nathan-Gomes/README.md

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Nathan Gomes

Aspiring software developer with a passion for data, mathematics, and automation.

I build software and analytics tools that make messy business data easier to trust, explain, and use for decisions. My projects combine data analysis, financial mathematics, and practical automation.

Portfolio | LinkedIn | Email

Core Stack

Python pandas SQL MATLAB FastAPI AWS Docker GitHub Actions

What I Am Building

  • Financial analytics systems using Python, pandas, SQL, and repeatable reporting workflows
  • Portfolio risk tools that combine business assumptions, scenarios, and clear outputs
  • Automation and delivery projects using Python, APIs, AWS, Docker, and CI/CD practices
  • Project documentation that explains not just what I built, but how the system should be reviewed

Featured Projects

Project Why it matters Links
Quantitative Investment Analytics ETL Reproducible Python, pandas, and SQL pipeline for Canadian equity portfolio analytics, transaction-cost simulation, scenario risk analysis, and volatility forecasting Private repository / Case study / Interactive report
Quantitative Portfolio Research Pipeline Turns ETF price history into tested portfolio optimization research with returns, volatility, Sharpe ratio, drawdown, VaR, SQL analysis, MATLAB comparison, and walk-forward backtesting Repository / Live report
Multifamily Portfolio Risk App Scenario-driven dashboard for property valuation, NOI, DSCR, LTV, CMHC debt exposure, risk watchlists, and capital allocation Repository / Project page
Cloud Cost Monitor Read-only FinOps dashboard for finding cloud waste, idle resources, budget pressure, and rightsizing opportunities Repository / Project page
Invoice Review Platform Private invoice intelligence platform for document intake, extraction review, approval workflows, anomaly detection, and monthly reporting Private repository
Agentic AI Economics Research Research project comparing token-based AI operating costs with human labour costs across digital workflows Repository / Project page

Technical Areas

Area Tools and concepts
Data analysis Python, pandas, NumPy, SciPy, SQL, SQLite, reproducible notebooks
Financial analytics Portfolio optimization, risk metrics, scenario analysis, cash flow, DSCR, LTV, cap rates
Automation and delivery APIs, AWS, Docker, GitHub Actions, Terraform concepts, deployment workflows
Software development FastAPI, REST APIs, JavaScript, TypeScript, React, Next.js, automated tests

What I am aiming for

I am looking for junior roles where I can grow through real technical work in software, data, mathematics, and automation while learning from experienced engineering and analytics teams.

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