Turning financial complexity and business data into models, systems, and actionable decisions.
I spent nearly a decade trading options and derivatives in one of the world's most volatile markets. That experience shaped how I think: probabilistic, data-driven, and always focused on what actually moves the needle.
My background in Business Administration gave me something most technical profiles lack — a deep understanding of how businesses work from the inside: their processes, inefficiencies, and what decision-makers actually need.
Today I combine both worlds — financial expertise and technical capability in Data Science, ML, and automation — to find and generate value where others don't look.
Languages
ML & Data Science
Visualization & BI
Cloud, DevOps & Tools
APIs & Integrations
| Project | Description | Stack |
|---|---|---|
| Quant Trading System | ML & deep learning signals for GGAL & NVDA. Bloomberg-style candlestick charts. | Python · sklearn · TensorFlow · Plotly |
| Credit Risk & Scoring | PD modeling + client scoring + business rules for credit assignment | Python · sklearn · statsmodels |
| VaR & GARCH Analysis | Market risk analysis with GARCH volatility and backtesting on GGAL across crisis periods | Python · ARCH · Plotly |
| Economic Data Aggregator | BCRA, INDEC & Ministry of Economy pipeline with AI-powered PDF parsing | Python · APIs · OpenAI |
| Options Analysis GGAL | Probabilistic study of bimonthly option expiration cycles since 2000 | Python · Plotly · yfinance |
| Market Regimes & Streaks | Quantitative study of market regimes, streaks and conditional probabilities on GGAL | Python · Plotly · statsmodels |
| Telegram Report Bot | Automated daily financial report distribution system | Python · Telegram API |
| Audio/Video Transcriber | Local Whisper-based transcription app — privacy-first, no upload needed | Python · Streamlit · faster-whisper |
| Retail Stock Manager | Demand forecasting & inventory optimization for SMEs | Python · sklearn |
| S&P500 Segmentation | Temporal segmentation and quantitative analysis of S&P500 | Python · Plotly · yfinance |
- 🎓 Business Administration — UNICEN (graduating 2026)
- 📊 Data Science Diploma — UADE (2022)
- 📈 Quantitative Finance & Portfolio Management — Matba Rofex School / BCR (2024)
- 🏦 Trusts & Investment Funds — UCEMA (2023)
- 🔐 CNV Capital Markets License (in progress — 2026)
- 🌐 Languages: Spanish (native) · English (C1-C2) · Italian (basic)
- Finalizing and publishing my quantitative finance project suite
- Building a GitHub Pages portfolio site
- CNV Capital Markets certification