📚 Tabla de Contenidos
Hi, I'm Andre, double-degree student in Industrial Engineering and Data Science, broadcasting from Lima, Perú 🇵🇪. I build models and dashboards that turn messy operational data into actionable insights — applying industrial engineering rigor to data science problems.
I'm a restless reader: I devour papers on AI fairness, behavioral economics, psychology of decision-making, environmental engineering, legal informatics, and fitness science — whatever catches my attention today.
- 🎓 Student: Industrial Engineering + Data Science (dual track)
- 📍 Based in: Lima, Perú
- 🏢 Target role: Analista de Datos Junior / Practicante BI
- 📊 Daily driver: Power BI, SQL, Python (Pandas, scikit-learn, statsmodels), DAX
- 🧪 Research interests: AI ethics & fairness, decision neuroscience, behavioral economics, environmental sustainability, legal informatics, fitness science, ensemble methods for prediction
- 📝 Academic writing: LaTeX (IEEE, APA 7), published on Zenodo and ResearchGate
| Project | Description | Status | Stack |
|---|---|---|---|
A.N.D.R.E. |
Ensemble stacking predictor for football matches (World Cup 2026) | ⚡ Active | Python · XGBoost · LightGBM · Optuna |
dophamine |
Offline-first wellness app: nutrition, training & biometrics tracker with weekly insights | 🛠️ Prototyping | Python · offline-first · wellness analytics |
LaTeX Templates |
Academic writing templates following IEEE and APA 7 standards | ✅ Maintenance | LaTeX · IEEE · APA 7 |
Right now, Andre is deep-diving into:
- Industrial Engineering + AI — optimizing systems with data-driven decisions
- Causal inference — counterfactuals for real-world impact
- xG/football analytics — ensemble methods for match prediction
- AI in legal docs — NLP for contract analysis (side quest)
- Decision neuroscience — what the brain tells us about choice
- Fitness science & nutrition — data-driven wellness tracking
