CV
Felipe A. Santibañez-Leal
Summary
Advanced analytics leader with 15+ years bridging academia and industry. I design and deploy data-driven solutions for mining, manufacturing, and services — delivering throughput gains, environmental improvements, and field-data workflow acceleration.
Education
- M.Sc. Program in Project ManagementUniversidad de Viña del Mar
- Ph.D. in Electrical Engineering2019-12-01Universidad de ChileCourses: CONICYT National Scholarship
- Postgraduate Diploma in Medical Informatics2011-07-01Universidad de Chile & University of Heidelberg
- B.Sc. in Electronic Civil Engineering2009-12-01Universidad de ConcepciónCourses: Enrique Molina Garmendia Scholarship, Bicentenario Scholarship
Work Experience
- I&F Decision Science Assoc. Manager | Senior Data Science Lead2025-09-01 -Accenture – Industry XTechnical & Project Lead at CODELCO MinCo-Hidro. End-to-end data science for mining process optimization.
- Strategic deployment of Data & AI solutions across mining operations
- Internship supervision: geotechnical risk prediction system industrialization
- Data Processing Specialist | Senior Lead Data Scientist2025-01-01 - 2025-09-01Minera Centinela – AMSA GroupAdvanced analytics across the mining value chain.
- SAG milling, flotation, stockpile optimization: +120 TPH throughput uplift
- Air quality initiative: 15% reduction in severe-event alerts
- Business & Technology Delivery Associate Manager2024-06-01 - 2024-12-01Accenture – Industry XStrategic advisor in digital transformation for national mining companies.
- Generative AI for process improvement and operational communication
- Underground ore transport optimization and geophysical risk analysis
- Project Leader | Senior Data Scientist2022-01-01 - 2024-05-01CODELCOOptimization projects across flotation, milling, and thickening.
- +100 TPH throughput increases and copper recovery improvements
- Computer vision (24-stream) + Generative AI for pollution mitigation
- Azure Databricks, Data Factory, Kedro, Spark Delta
- Head of Analytics and Development Teams2021-08-01 - 2021-12-01Alaya Digital SolutionsAnalytics across mining, aquaculture, retail, and brewing.
- 10-15% production improvements in real operations
- Computer-vision-based monitoring for salmon processing plants
- Principal ML/AI Engineer | Research Scientist2017-08-01 - 2023-10-01ALGES – Universidad de ChileApplied research in hyperspectral imaging, geostatistics, and geometallurgy.
- Geometallurgical models integrating spectral and laboratory data
- Exploration models for brownfield and greenfield operations
- Published in Mathematical Geosciences, Natural Resources Research, Scientific Data (Nature)
- ML Expert – Electronic Engineer2011-07-01 - 2016-03-01BNI – SCIAN-Lab, Universidad de ChileScientific computing for biomedical microscopy and super-resolution.
- First SOFI super-resolution implementation in Chile
- Collaboration with University of Göttingen, Germany
Skills
Python / ML / Data Science
- Python
- scikit-learn
- PyTorch
- TensorFlow
- XGBoost
- Kedro
- Spark
Cloud & MLOps
- Azure Databricks
- Data Factory
- AWS
- MLflow
- CI/CD
- Docker
Image Processing & Vision
- OpenCV
- Hyperspectral
- FIJI/ImageJ
- Computer Vision
- Super-resolution
Geostatistics
- Spatial analysis
- MPS
- Compressed Sensing
- Information Theory
Full-Stack Development
- FastAPI
- Next.js
- Dash
- PostgreSQL
- Three.js
Leadership
- Project Management
- Agile
- Cross-functional teams
- Mentoring
Publications
- HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy2023Scientific Data (Nature)Public SWIR/VNIR hyperspectral image database of mineral samples with geometallurgical properties.
- Ore-Waste Discrimination with Adaptive Sampling Strategy2020Natural Resources ResearchAdaptive sampling for grade control in short-term mining planning, validated on three real cases.
- Sampling Strategies for Uncertainty Reduction in Categorical Random Fields2019Mathematical GeosciencesInformation-theoretic optimal sampling using conditional entropy for geostatistical simulation.
- Geological Facies Recovery Based on Weighted l1-Regularization2019Mathematical GeosciencesWeighted compressed sensing for channelized geological facies reconstruction.
- A Robust Stochastic Approach to Mineral Hyperspectral Analysis for Geometallurgy2020
Presentations
- Doctoral Dissertation Defense: Information-Theoretic Sampling for Geological Image Recovery2020Universidad de Chile, Electrical Engineering Doctoral ProgramSantiago, ChileOptimal Sensor Placement for categorical 2D models in mining exploration.
- Multi Pixel Stochastic Approach to Mineral Samples Spectral Analysis2020Procemin Geomet 2020Santiago, Chile (virtual)Hierarchical regressor for geometallurgical variable estimation from hyperspectral data.
- Channelized facies recovery based on weighted compressed sensing2016IEEE SAM Workshop 2016Rio de Janeiro, BrazilWeighted compressed sensing for geological facies recovery.
Teaching
- Professional Internship Supervision: Geotechnical Risk Prediction2026Accenture Industry XRole: Mentor / Supervisor9-week mentorship on rockburst prediction system industrialization.
- Medical Informatics and Digital Pathology2017Universidad San SebastiánRole: Undergraduate Instructor (2017-2019)Microscopy, optics, and image processing for medical technologists.
- Microscopy, Optics, and Super-Resolution2012Universidad de Chile, Master in Medical InformaticsRole: Graduate Instructor (2012, 2014)Spatial localization, co-localization analysis, and scientific image processing.
Languages
- SpanishNative
- EnglishProfessional Working
Interests
- Data Science & Machine Learning
- Computational Photography & Optics
- Geostatistics & Mining Analytics
- Nature & Hiking