Edimer David Jaramillo

Data Scientist and Professor

About me

I am a Zootechnician and Statistics specialist, with a strong background in applying statistical methods and artificial intelligence techniques to solve problems in various knowledge areas. I have experience in university teaching, formulating research projects, and statistical consulting. I am passionate about extracting knowledge from data by implementing machine learning and artificial intelligence techniques, using programming languages such as R and Python. I am an active participant in Data Science competitions through platforms such as Kaggle, Zindi (Africa) and DataSource (Latin America).

Interests

Statistics
Machine learning - Deep learning
Agentic AI
Simulation
Data storytelling
Bioinformatics
Geographic Information System

Education

Specialist in statistics, 2017

Universidad Nacional, Colombia
Zootechnician, 2016

Universidad Nacional, Colombia

Skills

Technical

Data Science

R

Python

Machine Learning

Agentic AI

Hobbies

Fishing

Dogs

Literature

Walk

Videogame

Experience

Data Scientist

Lovelytics

October 2021 – Present Medellín, Antioquia

Responsibilities include:

Data analysis
Predictive modeling
Deploying machine learning models

Professor

Universidad de Antioquia

July 2020 – Present Medellín, Antioquia

Professor of statistics, experimental design and R programming language in animal experimentation.

Data Analyst

Grupo Éxito

July 2021 – October 2021 Envigado, Antioquia

Responsibilities include:

Data analysis
Predictive modeling
Evaluation of projects in digital analytics

R&D Assistant

Solla

May 2019 – July 2021 Itagüi, Antioquia

Responsibilities include:

Design and statistical analysis of experiments
Web application development with R
Formulation of research projects

Professor

Universidad Nacional de Colombia, Medellín

June 2018 – June 2019 Medellín, Antioquia

Professor of biostatistics and introduction to data analysis with R.

Statistical consultant

Asimetrix

July 2016 – May 2019 Medellín, Antioquia

Responsibilities include:

Statistical analysis of experimental and observational data
Building reports with R

🏆 International Recognition

Award for Best Model (Statistics)

GMU Statistics Competition 2024

Winner of the international award in the 2024 International Cherry Blossom Prediction Competition.

View details →

Complementary education

The complementary education in which I have put my interest is related to data science, artificial intelligence, statistical modeling and programming with R and Python.

Databricks Certified Machine Learning Associate

Databricks Jun 2024 – Jun 2025

See certificate