Germán Oviedo
I've worked with data in Chilean banking and fintech for more than ten years. I started as a data scientist at Bci, building behavioral models and CRM engines. Then I built Tenpo's data team, ran analytics and data science at MACH, and went back to Bci to lead generative AI.
I've taught data mining and machine learning at UNAB, UAI and UDP since 2016. In 2026 I finished an MBA in International Business at MIB Trieste and moved temporarily back to Chile.
Corporate AI strategy, CLP 800MM+ budget. GenAI Center of Excellence (3 ML Engineers, 2 Product Leads). 26% automation over ~80K monthly inquiries. Led Gemini adoption across 9,000+ employees.
Team of 9 for 3.8M+ users. Causal inference across 100+ monthly campaigns. "Next Best Action" engine on AWS. AutoML + GPT-based DataBot.
Built data function from scratch for 1M+ customers. Data culture 2.0 → 4.5/5. Data lake on GCP (BigQuery, DBT, Airflow, Looker, Kubernetes).
20+ XGBoost models for behavioral prediction. Hybrid CRM engine for 400K+ daily customers. COVID-19 macro-monitoring framework (NBER-style).
Data Mining, Machine Learning, and Software Engineering at Universidad Andrés Bello, Universidad Adolfo Ibáñez, and Universidad Diego Portales.
In collaboration with University of Trieste.
Santiago & Viña del Mar, Chile
Santiago & Viña del Mar, Chile
- GenAI & ML
- LLMs, RAG, LangGraph, PydanticAI, MLOps, model evaluation
- Data & Platforms
- BigQuery, Snowflake, DBT, Airflow, Spark, feature stores, data governance
- Cloud
- AWS (Glue, Athena), GCP, Azure · Kubernetes, Terraform
- Analytics
- Causal inference, A/B testing, quasi-experiments, marketing analytics
- Programming
- Python (numpy, pytorch, tensorflow), SQL, Spark (Java, Scala), R
- Languages
- Spanish (native), English (professional)