Resume
ProfileData Science Tech Lead with 5+ years of experience building machine learning systems at scale in the telecom industry. I focus on end-to-end delivery: from designing algorithms grounded in maths to deploying production models in Spark on cloud infrastructure.
My background in applied mathematics drives how I approach problems — I look for the simplest model that solves the real business question, and I build pipelines that other people can maintain and extend.
Experience
Data Science Tech Lead
ClaroVTR · Santiago, Chile
- Technical oversight of ML projects across the data science team.
- Setting standards for model development, deployment, and monitoring.
- Project management and cross-functional collaboration with product and engineering.
Data Scientist
VTR / LLA · Santiago, Chile & Panama
- Built a Node Intervention Prioritization Model to proactively reduce network incidents.
- Designed a Clustering Model on Quality of Experience timeseries for internet network analysis.
- Developed Call-in Prediction and Voluntary Churn Models for Cable & Wireless Panamá.
- Delivered an end-to-end Involuntary Churn prediction pipeline to production.
- Created a PySpark-based framework for feature engineering and modelling across LLA.
- Built a Reinforcement Learning system for Next Best Offer on prepaid mobile.
Software Developer
Telefonica I+D Chile · Santiago, Chile
Researcher
Telefonica I+D Chile · Santiago, Chile
Research Intern
Telefonica I+D Chile · Santiago, Chile
Class Assistant
Universidad de La Frontera · Temuco, Chile
Data Analyst
SGS Minerals Services
Education
Ingeniería Civil Matemática · Universidad de La Frontera · 2011–2016
Core focus: mathematical modelling, parallel programming (C++/OpenMP), data analysis, and numerical methods.
Skills
Awards & Activities