About me

Medellin, Metropolitan Area, Colombia.

Economist with a strong background in applied mathematics and data science, specialising in mathematical optimisation, machine learning, and strategic decision-making. Experienced in building optimisation models, predictive models, decision-support systems, and AI-driven analytics to solve complex business challenges.

Education

• M.S., Applied Mathematics. Universidad EAFIT, Colombia, Present.
• B.A., Economics. Universidad EAFIT, Colombia, 2021.

Work Experience

• Senior Analyst @ WPP Media, formerly GroupM - Data & Analytics (May 2025 - present)
• Data Scientist @ Grupo Éxito - Assortment and Planogramming Direction (April 2021 – September 2024)
• Data Scientist, Internship @ Grupo Éxito - Analytics Direction (June 2020 – January 2021)

Technical Skills

• Programming: Python, R, SQL.
• Optimisation & Mathematical Modelling: SciPy, NumPy, Gurobi.
• Machine Learning & AI: TensorFlow, Scikit-Learn, R Torch.
• Frameworks: Streamlit, Shiny.
• Cloud & DevOps: Azure, Git, Docker.

Projects

The projects are upgrading to homogenise their structure and implement uv as a project and package manager. So the links are not available at the moment.

Essentials-QuantFinance: This repository contains a Python-based project for practising essential financial analysis. It explores key financial metrics and tools while analysing stock market data. The project focuses on simplicity and accessibility, making it ideal for beginners in finance-related data science roles.

Profit-Optimisation: Price optimisation using a common profit function considering multiple products and their cross-effect (substitution and complementary effects), consumer price sensitivity, products’ cost, and inventory/supply constraint.

mtVRPTW: Metaheuristic algorithms to solve a mathematical formulation for the multi-trip Vehicle Routing Problem with Time Windows (mtVRPTM) using Solomon’s 100-customer benchmarks.

Career options

Data Scientist / Senior Data Analyst: Experience applying statistical modelling, exploratory analysis and machine learning techniques to extract value from large volumes of data. Analytical thinking with programming and visualisation skills to transform complex data into clear information for strategic decision-making.

Analytical Solutions Developer: Hybrid profile between applied mathematics, programming and business knowledge to contribute to the development of tools that optimise performance and operational efficiency through customised analytical solutions.

Operational Research Specialist: Experience in optimisation, mathematical modelling and decision-making under result-oriented constraints to develop models that improve resource allocation, logistical planning or activity scheduling.