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.
- 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
| Project | Why it matters | Links |
|---|---|---|
| AlphaCast | Machine-learning equity ranking workstation that compares six models on embargoed walk-forward folds, builds cost-aware portfolios, and monitors signal health | Repository / Live app / Case study |
| Strata: Quantitative Investment Analytics | Portfolio construction and risk platform with walk-forward optimization, factor risk models, transaction costs, and block-bootstrap scenarios | Repository / Live app / Case study |
| PartnerSignal | Partner prospecting and qualification workspace with evidence-grounded AI extraction, stage gates, specialist routing, and human-reviewed outreach | Repository / Live app / Case study |
| IT Service Ops & SLA Analytics | Service-desk analytics platform with a data-quality gate, MySQL/SQLite reporting views, SLA breach analysis, and Excel and Power BI outputs | Repository / Live app / Case study |
| 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 | Invoice intelligence platform for document intake, extraction review, approval workflows, anomaly detection, and monthly reporting | Repository / Project page |
| Agentic AI Economics Research | Research project comparing token-based AI operating costs with human labour costs across digital workflows | Repository / Project page |
| Area | Tools and concepts |
|---|---|
| Data analysis | Python, pandas, NumPy, SciPy, SQL, SQLite, reproducible notebooks |
| Machine learning research | scikit-learn, cross-sectional ranking, walk-forward validation, model comparison, signal diagnostics |
| Financial analytics | Portfolio optimization, risk metrics, scenario analysis, cash flow, DSCR, LTV, cap rates |
| Operational analytics | Data-quality gates, SLA measurement, MySQL, Excel reporting, Power BI models |
| Applied AI workflows | Structured extraction, evidence-grounded outputs, human review, deterministic fallbacks |
| Automation and delivery | APIs, AWS, Docker, GitHub Actions, Terraform concepts, deployment workflows |
| Software development | FastAPI, REST APIs, JavaScript, TypeScript, React, Next.js, automated tests |
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.