Germán Oviedo

Pursuing an MBA in International Business at MIB Trieste School of Management.

Teaching applied Machine Learning and Data Science with a focus on real-world analytical and engineering practices using R and modern ML tooling.

Previous teaching experience:
· Teacher — Machine Learning, Universidad Adolfo Ibáñez (2021)
· Teacher — Data Mining, Universidad Diego Portales (2017–2020)
· Teacher — Software Engineering (TICS-331), Universidad Adolfo Ibáñez (2016)

Led Banco Bci’s enterprise GenAI strategy across governance, architecture, operating standards, vendor partnerships, and budget. Managed an initiative pipeline from discovery to production and built adoption, compliance, and risk frameworks for a regulated bank.

- Led Bci’s enterprise GenAI strategy across governance, architecture, operating standards, vendor partnerships and a CLP 800MM+ budget.
- Managed a 20+ initiative pipeline from discovery to production, coordinating direct team, technical squads, business units and external partners including Microsoft, Google, Accenture and CENIA (Chilean National Center for Artificial Intelligence).
- Built ado

Led MACH (Banco Bci fintech startup) Analytics & Data Science across Growth, Risk, Fraud, and Product, including building the Data Science team and coordinating ML engineering delivery. Delivered a Next Best Action engine on AWS and oversaw data and AI portfolios across multiple business areas.

- Led MACH's (Banco Bci fintech startup) Analytics & Data Science across Growth, Risk, Fraud and Product for a fintech with 3.8M+ users, building the Data Science team and coordinating ML Engineering delivery.
- Delivered a Next Best Action engine on AWS, modeling 40+ user behaviors and integrating it into the martech stack (Braze, Appsflyer, Segment) allowing for both Growth Marketing strategy a

- Built the Data & Analytics function from scratch, defining the operating model, governance, roadmap and PMO for 120+ internal stakeholders and 1M+ users.
- Directed the design and deployment of the Data & BI platform on GCP, coordinating technology teams to integrate BigQuery, dbt, Airflow, Looker, mlflow, Flink and Kubernetes with production systems, CleverTap and backend microservices.
- Dro

- Transitioned from hands-on Data Scientist to transversal AI/ML lead, driving initiatives across Risk, Sales, Marketing and CX.
- Built and scaled AI/ML solutions across trading, customer experience, retail banking, corporate banking and digital channels, including FX time-series prediction systems, NLP customer intent engines, rule-based transaction categorization models, search tools and chat

Taught Data Mining at Universidad Diego Portales.

- Led the transition from graphical tools such as SPSS Modeler to a more versatile Python-based environment, including the creation of tools for the team and the development of 20+ XGBoost predictive models for insurance credit card lead generation, and NLP-based classification models for emails and other text channels.
- Pioneered and promoted the use of Apache Airflow for process automation ove

A yearly program targeted at young professionals. I was selected from a pool of about 4,000 applicants.

Taught Machine Learning at Universidad Adolfo Ibáñez.

Taught Software Engineering (TICS-331) at Universidad Adolfo Ibáñez.

Classical Computer Vision, Machine Learning and Deep Learning