About
Daniel Huencho Mardini
MSc AI for Sustainable Development @ UCL | Former Head of Data Science
With over seven years of experience delivering impactful data-driven solutions in finance and transportation, I specialize in designing AI systems for predictive maintenance, anomaly detection, and generative AI applications. Currently pursuing my Master’s at University College London, I am passionate about leveraging data and technology to innovate complex systems and create measurable societal value.
Education
2025 - Present
University College London (UCL)
Master of Science in Artificial Intelligence for Sustainable Development
Relevant modules: Probabilistic Modelling, Foundations of Artificial Intelligence, Deep Representations and Learning.
2019 - 2020
Pontificia Universidad Católica de Chile
Master of Science in Statistics
- Ranked 2nd in cohort, GPA: 3.75 / 4.0
- Thesis: Multinomial logit model for route choice behavior in Santiago Metro using Origin-Destination survey data and spatial predictors
- Modules: Generalized Linear Models, Time Series, Bayesian Statistics, Machine Learning Applications
2011 - 2018
Pontificia Universidad Católica de Chile
Civil Engineer of Industry with Diploma in Transportation Engineering
Modules: Calculus, Differential Equations, Linear Algebra, Probability & Statistics, Operational Research, Travel Demand Modeling, Transport Network Equilibrium.
Professional Experience
2023 - 2025
Head of Data Science
Metro de Santiago, Chile
- Led a team of 5 Data Scientists and Data Engineers to design and deploy AI-driven solutions using cloud services
- Architected end-to-end big data pipeline for high-frequency SCADA energy data, addressing complex spatial-temporal challenges
- Developed ensemble-based predictive maintenance model for ticket reload machines, optimizing maintenance schedules
- Implemented Generative AI agents to assist Operations Control Center and Maintenance tasks with embedded knowledge base
2022 - 2023
Analytics Translator
Banco de Crédito e Inversiones (BCI), Chile
- Bridged technical data science expertise with business operations, developing strategies for digital banking ecosystem
- Led data-driven profitability initiative using behavioral and financial clustering to identify high-value segments
- Designed optimized customer journey with A/B testing validation, increasing adoption and reducing churn
- Tools: Databricks, R, Python, SQL, Spark, Scala
2021 - 2022
Senior Risk Management Analyst
Banco de Chile
- Monitored provision models for portfolio risk mitigation (CMF regulatory methodology)
- Led migration of data infrastructure to Cloudera on-premises data lake platform
- Presented results in technical and executive committees for strategic decision-making
2018 - 2021
Data Analyst, Planning and Development
Metro de Santiago, Chile
- Developed ML models to describe and forecast user behavior with R (Rcpp) and Python
- Led development of train passenger density model as key KPI for service level measurement
- Strategic analysis with Chile’s Ministry of Transportation for future Metro line projects
- Contributed to research on mobile phone data for mobility pattern detection
Technical Skills
Programming Languages
Python SQL R Scala C++
Machine Learning & Deep Learning
PyTorch Scikit-learn Deep Learning TensorFlow XGBoost Generative AI MLlib
Data Engineering & Cloud
Apache Spark Databricks AWS (EC2, S3, Glue, Athena) Docker Cloudera ETL Pipelines
Statistical Methods
Bayesian Statistics Time Series Analysis Generalized Linear Models A/B Testing Survival Analysis
Languages
Spanish Native Speaker
English IELTS 8.0 (C1 - Advanced)
Conferences & Events
2025 | EurIPS, Copenhagen
Volunteered facilitating logistics and technical support for workshops on AI Efficiency, Sustainability, and Earth Observation.
2024 | InnoTrans 2024, Berlin
Represented Metro de Santiago at world’s largest transportation technology fair, exploring trends in sustainability, digitalization, and AI.
2024 | OpenAI Hackathon & Conference, Latin America
Participated in first OpenAI event in Latin America, engaging with advancements in generative AI applications.
Publications & Research
2025 | XXII Congreso Chileno de Ingeniería de Transporte
Research on Urban Quality of Life Index focusing on environmental and social dynamics surrounding Metro stations.
2018-2019 | Mobile Phone Antenna Data Research
Supported academic research with Eduardo Graells-Garrido on large-scale mobility patterns. arXiv:2204.09482