Finance professional focused on FP&A, forecasting, financial modeling, and finance analytics across SaaS, fintech, and marketplace environments.
🌐 Finance Portfolio: https://efrainfinance.com/
My work combines driver-based forecasting, financial analysis, accounting discipline, and finance-grade data validation to turn operating data into decision-ready financial insights.
Recurring-revenue analysis covering ARR, retention, churn, acquisition economics, cohort behavior, and finance-grade reconciliation controls.
Repository: https://github.com/ecastillo081/SaaS-KPI-Dashboard
Benchmarked nine forecasting methods across 50 synthetic merchants. Holt produced the strongest average out-of-sample performance at approximately 8.64% MAPE.
Repository: https://github.com/ecastillo081/Merchant_Revenue_Forecasting
Marketing Finance case connecting acquisition spend to CAC, contribution-margin economics, payback, and downside sensitivity.
Repository: https://github.com/ecastillo081/Marketing-Finance-Dashboard
Driver-based three-statement financial model covering revenue, headcount, operating expenses, scenarios, cash flow, and investment analysis.
Repository: https://github.com/ecastillo081/Financial_Model
Credit-risk modeling case focused on the trade-off between approval volume, modeled default risk, and financial outcomes.
Repository: https://github.com/ecastillo081/Loan_Defaults
- Corporate FP&A
- Driver-based forecasting
- Budget vs. actual analysis
- Rolling forecasts
- Revenue and contribution-margin modeling
- SaaS / fintech unit economics
- Scenario analysis
- Finance data validation and reconciliation
- Excel, SQL, Python, Power BI
For management-ready case studies and additional finance work: