Industrial Engineering · Data Science & AI · Lima, Perú
I'm an undergraduate student working at the intersection of industrial systems optimization and machine learning. I believe data-driven decisions transform not just businesses, but entire processes — and I'm building the tools to make that happen.
- 🎓 Dual degree: Industrial Engineering & Data Science / AI (in progress)
- 📍 Lima, Perú
- 🔬 Passionate about applying ML to real industrial problems
- 📊 Advanced Excel user — data modeling, dynamic dashboards, Power Query & VBA
- 📝 Academic writing in LaTeX for research documentation
- 🎹 Pianist and multi-instrumentalist — music sharpens the discipline I bring to engineering
- 🌱 Expanding into: scikit-learn · time series · OR-Tools · reproducible research workflows
- 💡 Interests: predictive modeling, supply chain analytics, process simulation, AI ethics in industry
- 📸 Instagram: @s7ex.j
Data & AI
Productivity & documentation
| Project | Description | Stack | Status |
|---|---|---|---|
| 📄 LaTeX Templates: IEEE + APA 7 | Academic LaTeX templates based on JAES class, adapted to Spanish for engineering reports. Includes IEUE numeric citations (BibTeX) and official APA 7 (biblatex-apa + biber). Full documentation in MEMORIA_LATEX.md. |
LaTeX, BibTeX, biblatex, biber | ✅ Published |
| 📊 Informe Técnico Parque Kennedy | Technical report for urban planning / industrial engineering project. Soil physicochemical characterization with anomalous EC findings linked to biogenic inputs. | LaTeX, Python | 📁 In repo |
| ⚽ A.N.D.R.E. Modelo predictivo mundiales | 2026 World Cup predictor: Dixon-Coles + XGBoost + Neural Net + Hierarchical Bayesian, stacked. R API (plumber) + live market odds dashboard. | R, Python, XGBoost, Bayesian, Plumber, Stan/brms | 🚀 Published |
"Hierba mala, nunca muere" — Yo
Profile under active construction — every commit counts. 🚀