Work Experience

  Head of Advanced Analytics & Modeling
  Universidad Técnica Federico Santa María
  2025 – Present

Leadership in advanced analytics and intelligent data-driven solutions:

• Defined standards and best practices for advanced data analysis and modeling.
• Validated analytical results from both technical and business perspectives.
• Mentored teams to deliver impactful and actionable data insights.
• Designed and validated data treatment and integration strategies.
• Promoted interdisciplinary collaboration aligned with institutional goals.

  Head of Advanced Analytics
  Grupo Security
  2023 – 2025

Lead the development and implementation of algorithms (Tech Department):

• Prospects: Strategies and customer acquisition in life insurance.
• Analyzed former clients to improve retention in life insurance.
• Successful implementation of a life insurance fraud detection model.
• Managed efficient handling of redemptions and transfers of Mutual Funds.
• Contributed to the formulation and development of policies related to Artificial Intelligence (AI).

  Senior Data Scientist
  Walmart Chile
  2021 – 2023

Design and implementation of several machine learning algorithms within the Walmart Commercial Department:

• Demand estimation forecasts for supermarkets.
• Analysis and recommendation of products on promotion.
• Lead career development plan for different Data Science profiles.

  Senior Data Scientist
  Banco Itaú
  2020 – 2021

Design and implementation of several machine learning algorithms within the Analytics Department:

• Implementation of the winning solution of the Data Science Challenge (Itau Bank).
• Risk Score Modelling (ITAU and Rappi alliance project).
• Lead career development plan for different Data Science profiles.

  Data Scientist
  Cencosud S.A.
  2019 - 2020

Design and implementation of several machine learning algorithms within the Cencosud’s Advanced Analytics Department:

• Demand estimation forecasts for supermarkets and home improvement stores.
• Optimization modelling to find the best assignments of shifts of store workers taking into account several features like demand forecast, labour-legal constraints and each worker availability.
• Models of Storage Assignment with congestion to improve picker travel times within the distribution centers.

  Data Scientist
  U-Planner
  2018 – 2019

Main developer of all the algorithms with a strong analytical foundation of the company:

• Diagnostic of the academic programming.
• Allocation of university infrastructure.
• Analysis university programs (Latin America).

  Data Scientist
  IConstruye
  2018 – 2019

Main developer of text classification algorithm over purchase orders (construction area) applied techniques of Natural Language Processing.

  Researcher
  PUCV
  2017 – 2018

Researcher in charge of the following projects:

• University retention about construction engineering students.
• Spatial-statistics study for 3D Kriging about laboratory tests for tailings.

  Data Scientist
  U-Planner
  2016 – 2017

Internship: Main developer of all the algorithms with a strong analytical foundation of the company:

• Study plans design and optimization.
• University retention.
• Allocation of university infrastructure.

Teaching Experience

  Universidad Técnica Federico Santa María (UTFSM)
  Valparaiso, Chile.
  2012 - 2026

• Co-Adviser. Juan Briceño. Prediction and classification of course of a bank benefit.
• Lecturer. Algebra, Calculus, Programming, Statistics Projects, Applied Mathematics.
• Support Teacher. Design the material related to the exercises, quizzes and tests of the Algebra and Calculus courses.
• Course Assistant: Algebra, Calculus, Statistical Inference, Regression Analysis, Time Series, Statistical Methods, Real Analysis.

  Universidad Pontificia Católica de Chile (PUCV)
  Valparaíso, Chile.
  2025 - 2026

• Lecturer. Statistics and Data Visualization.
• Coordination. Supporting in the organization (courses, website, events).

  Kibernum IT Academy
  Bootcamp, Online.
  2025 - 2026

• Instructor. Data Science Teacher.

  Universidad Montevideo (UM)
  Montevideo, Uruguay.
  2025

• Co-Adviser. Natalia Ripa, Felipe Renom, Verónica Suárez. Predictive model for estimating house prices in Montevideo.
• Coordination. Supporting in the organization (courses, website, events).

  DUOC UC
  Santiago, Chile.
  2022-2023

• Lecturer. Deep Learning Introduction.
• Specialist. Committee tasked with planning, designing, and creating new study programs for Computer Science Department.

  TripleTen
  Bootcamp, Online.
  2022-2023

• Tutor. Data Science Teacher.

  Coding Dojo
  Bootcamp, Online.
  2022-2023

• Instructor. Data Science Teacher.