Daniel Huencho
Daniel Huencho
AI Engineer | MSc AI for Sustainable Development @ UCL
Bridging cutting-edge AI research with real-world impact. 7+ years leading data science initiatives in transportation and finance, now focused on deep learning for disaster risk and earth observation.
About
I’m a data scientist and AI engineer with a passion for applying machine learning to solve complex, real-world challenges. Currently pursuing my MSc in AI for Sustainable Development at University College London (UCL), I bring over seven years of experience leading data science teams across transportation and financial services.
Most recently, I served as Head of Data Science at Metro de Santiago, where I led a team of five data scientists building GenAI agents for operations and deploying Big Data pipelines that improved energy efficiency through SCADA analytics. Prior to that, I worked as an Analytics Translator at BCI and a Senior Risk Analyst at Banco de Chile, bridging the gap between business strategy and technical implementation.
My research interests lie at the intersection of deep learning and earth observation, particularly using methods like Deep Kernel Learning (DKL), Variational Autoencoders (VAEs), and Graph Neural Networks (GNNs) for disaster risk assessment and urban resilience.
Technical Expertise
Programming Languages
Python SQL R Scala C++
Machine Learning & Deep Learning
PyTorch Deep Learning Scikit-learn TensorFlow Graph Neural Networks XGBoost Bayesian Modeling Computer Vision NLP Generative AI
Data Engineering & Cloud
Apache Spark Databricks AWS Docker PostgreSQL ETL Pipelines Cloudera
Domain Expertise
Transportation Analytics Financial Risk Modeling Earth Observation Geospatial Analysis Energy Optimization Disaster Risk Assessment
Highlights
2024 – Present
MSc AI for Sustainable Development
University College London (UCL)
Research focus on deep learning methods for building damage assessment using satellite imagery. Exploring Deep Kernel Learning and Graph Neural Networks for disaster response.
2023 – 2024
Head of Data Science
Metro de Santiago
Led team of 5 data scientists. Deployed GenAI agents for operational efficiency. Built Big Data pipelines achieving 15% energy cost reduction through SCADA analytics.
2022 – 2023
Analytics Translator
BCI (Banco de Crédito e Inversiones)
Bridged business and technical teams. Implemented customer journey optimization using Databricks and Spark. Drove data-informed decision making across the organization.