📧 [email protected] | 💼 LinkedIn
Senior Data Scientist with 12+ years in data-driven engineering and 5+ years leading AI & ML initiatives across biotech, finance, aviation, and manufacturing. I transform complex data into business-ready AI solutions that deliver measurable impact.
Current Role: Senior Data Scientist @ FPInnovations (Canada) - Building ML solutions for industrial processes and operations
Open to: U.S.-based contractor opportunities via personal LLC
- 🎯 US$3M ARR increase through dynamic pricing models at LATAM Airlines
- 📊 Churn & marketing propensity models increasing customer retention and boosting marketing ROI at LATAM Airlines
- 📉 Reduced forecasting error from 20% to 9.5% using ensemble time-series models at LATAM Airlines
- 🔧 Built AI agents for automated technical documentation generation at LATAM Airlines
- 🏭 Predictive maintenance models reducing unplanned downtime in industrial manufacturing
- 📰 NLP sentiment analysis using FinBERT for financial news classification and market intelligence at BNamericas
- 🤝 Collaborative filtering recommender system from scratch for personalized Business Intelligence at scale
- 💎 12% conversion rate boost via dynamic pricing in e-commerce
- ⛏️ 7% copper yield increase through simulation optimization
Frameworks: XGBoost, LightGBM, Pandas, NumPy, SARIMAX, Prophet
AI Techniques: Forecasting, Classification, NLP, Generative AI, LLMs, RAG, Agent-Based Automation
Vector DBs: ChromaDB, Pinecone
Tools: BigQuery, VertexAI, AWS SageMaker, CI/CD pipelines
- Data Visualization & Business Intelligence
- A/B Testing & Statistical Analysis
- Bioinformatics & Genomic Classification
- Agile Methodologies
University of Chile – Faculty of Physical and Mathematical Sciences
- 🎓 Master of Science in Chemical Engineering – Summa Cum Laude
- 🎓 Civil Engineering with Biotechnology Mention – Summa Cum Laude
Building predictive maintenance and anomaly detection models for industrial forestry manufacturing, optimizing boiler systems and kilns
- Developed AI agent for automated technical documentation
- Built ensemble forecasting models reducing error by 53%
- Deployed dynamic pricing models adding $3M ARR
- Created propensity models for customer retention
- Applied FinBERT & RoBERTa transformers for sentiment analysis
- Built collaborative filtering recommender system from scratch
Implemented dynamic pricing integrated within e-commerce UX, increasing conversion rates by 12%
- Designed solar-powered bioreactors
- Developed medical device MVPs for stem cell extraction
- Created ML models for genomic classification (88.8% sensitivity)
Chemical/Process Engineer developing mathematical simulations for copper leaching plants, optimizing mining operations
🇪🇸 Spanish (Native) | 🇬🇧 English (Advanced - IELTS 8.0/9.0)
- 💼 LinkedIn: andres-rogers
- 📧 Email: [email protected]
💡 Turning complex data into AI-powered solutions that drive measurable business impact