CV

Felipe A. Santibañez-Leal

felipe@FASL.Work
Santiago, Región Metropolitana, CL

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 Management
    Universidad de Viña del Mar
  • Ph.D. in Electrical Engineering
    2019-12-01
    Universidad de Chile
    Courses: CONICYT National Scholarship
  • Postgraduate Diploma in Medical Informatics
    2011-07-01
    Universidad de Chile & University of Heidelberg
  • B.Sc. in Electronic Civil Engineering
    2009-12-01
    Universidad de Concepción
    Courses: Enrique Molina Garmendia Scholarship, Bicentenario Scholarship

Work Experience

  • I&F Decision Science Assoc. Manager | Senior Data Science Lead
    2025-09-01 -
    Accenture – Industry X
    Technical & 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 Scientist
    2025-01-01 - 2025-09-01
    Minera Centinela – AMSA Group
    Advanced 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 Manager
    2024-06-01 - 2024-12-01
    Accenture – Industry X
    Strategic 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 Scientist
    2022-01-01 - 2024-05-01
    CODELCO
    Optimization 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 Teams
    2021-08-01 - 2021-12-01
    Alaya Digital Solutions
    Analytics 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 Scientist
    2017-08-01 - 2023-10-01
    ALGES – Universidad de Chile
    Applied 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 Engineer
    2011-07-01 - 2016-03-01
    BNI – SCIAN-Lab, Universidad de Chile
    Scientific 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 Geometallurgy
    2023
    Scientific Data (Nature)
    Public SWIR/VNIR hyperspectral image database of mineral samples with geometallurgical properties.
  • Ore-Waste Discrimination with Adaptive Sampling Strategy
    2020
    Natural Resources Research
    Adaptive sampling for grade control in short-term mining planning, validated on three real cases.
  • Sampling Strategies for Uncertainty Reduction in Categorical Random Fields
    2019
    Mathematical Geosciences
    Information-theoretic optimal sampling using conditional entropy for geostatistical simulation.
  • Geological Facies Recovery Based on Weighted l1-Regularization
    2019
    Mathematical Geosciences
    Weighted compressed sensing for channelized geological facies reconstruction.
  • A Robust Stochastic Approach to Mineral Hyperspectral Analysis for Geometallurgy
    2020
    Minerals
    Stochastic process formulation for hyperspectral mineral characterization.

Presentations

  • Doctoral Dissertation Defense: Information-Theoretic Sampling for Geological Image Recovery
    2020
    Universidad de Chile, Electrical Engineering Doctoral Program
    Santiago, Chile
    Optimal Sensor Placement for categorical 2D models in mining exploration.
  • Multi Pixel Stochastic Approach to Mineral Samples Spectral Analysis
    2020
    Procemin Geomet 2020
    Santiago, Chile (virtual)
    Hierarchical regressor for geometallurgical variable estimation from hyperspectral data.
  • Channelized facies recovery based on weighted compressed sensing
    2016
    IEEE SAM Workshop 2016
    Rio de Janeiro, Brazil
    Weighted compressed sensing for geological facies recovery.

Teaching

  • Professional Internship Supervision: Geotechnical Risk Prediction
    2026
    Accenture Industry X
    Role: Mentor / Supervisor
    9-week mentorship on rockburst prediction system industrialization.
  • Medical Informatics and Digital Pathology
    2017
    Universidad San Sebastián
    Role: Undergraduate Instructor (2017-2019)
    Microscopy, optics, and image processing for medical technologists.
  • Microscopy, Optics, and Super-Resolution
    2012
    Universidad de Chile, Master in Medical Informatics
    Role: Graduate Instructor (2012, 2014)
    Spatial localization, co-localization analysis, and scientific image processing.

Languages

  • Spanish
    Native
  • English
    Professional Working

Interests

  • Data Science & Machine Learning
  • Computational Photography & Optics
  • Geostatistics & Mining Analytics
  • Nature & Hiking