Juan Jose Restrepo Rosero

Software Engineer, Data Scientist

PHONE:
+57 316-617-3202
EMAIL:
restrepojuanjo@gmail.com
LOCATION:
Cali, Colombia

About

I am a trilingual Electronics Engineer with a major in Mechatronics and a minor in Computer Science from the Javeriana University in Cali, Colombia. Highly interested in software development, Machine Learning, robotics and automation. I am a committed, responsible, dedicated and persistent person. Great ability with numbers, multicultural teamwork and motivated to learn new things and approach challenges with a positive and creative thinking.

Download CV

Services

Software Development

Full-stack development with modern technologies. Expertise in Python, JavaScript, and various frameworks for building scalable applications.

Data Science & ML

Data analysis, machine learning model development, and implementation of AI solutions using R, Python, TensorFlow, and related technologies.

DevOps Engineering

Implementation of CI/CD pipelines, infrastructure automation, and cloud solutions using modern DevOps practices and tools.

Robotics & Automation

Design and implementation of robotics systems and automation solutions, leveraging mechatronics and electronics engineering background.

Resume

EDUCATION

PONTIFICIA UNIVERSIDAD JAVERIANA CALI

July 2024 - Present

Master’s Degree in Data Science

PONTIFICIA UNIVERSIDAD JAVERIANA CALI

January 2019 - April 2024

Bachelor of Science in Electronics Engineering

SOUTHERN LEE HIGH SCHOOL

August 2017 - June 2018

Foreign Exchange Student

SAN ANTONIO MARÍA CLARET

September 2011 - June 2017

High School Student

WORK EXPERIENCE

VEEVART

December 2024 - May 2025

Software Engineer I

HOLCIM ABS

July 2023 - January 2024

Engineering Intern

PONTIFICIA UNIVERSIDAD JAVERIANA CALI

August 2022 - December 2022

Laboratory Practices Monitor/Assistant

Skills

DATA SCIENCE & ML

Python
R
SQL
TensorFlow
Scikit-learn
Pandas

DEVELOPMENT

Salesforce
Java
JavaScript
Node.js
C++
HTML5

TOOLS & PLATFORMS

Git
Power BI
Linux
AWS
SolidWorks
MATLAB

PORTFOLIO

iOmicas Project

Knowledge Management & Multi-Spectroscopy Data Pipeline

Building a full ETL/ELT pipeline for multi-technique spectroscopy data (Raman, FTIR, UV-Vis) using Airflow, PostgreSQL, and Python, transforming dispersed research data into actionable insights to support research and community services of the iOmicas Institute.

USED STACK:

  • Python
  • Airflow
  • PostgreSQL
  • dbt
  • Docker
Qversity Data Engineering Technical Project

Qversity Data Engineering Technical Project

Developed a full ELT pipeline using Airflow, dbt, and PostgreSQL, implementing Bronze, Silver, and Gold layers to process data from AWS S3, while using Docker to streamline environment setup and deployment.

USED STACK:

  • Python
  • Airflow
  • dbt
  • PostgreSQL
  • Docker
  • AWS S3
Formula 1 predictor project

FORMULA 1 PREDICTOR

Data Science Project to Predict the 2025 Formula 1 Season using advanced machine learning techniques and historical race data analysis.

USED STACK:

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • Matplotlib
  • Seaborn
  • Plotly
  • Beautiful Soup
  • Requests
  • Folium
View Repository
Football predictor project

FOOTBALL PREDICTOR

Data Science Project to Predict the World Cup 2022, UEFA Euro and Copa América 2024 Winner using advanced machine learning techniques and historical match data analysis.

USED STACK:

  • Python
  • Pandas
  • Matplotlib
  • Scikit-learn
  • Selenium
  • Beautiful Soup
  • Requests
  • Pickle
View Repository
NLP Sentiment Analysis project

SOCIAL MEDIA SENTIMENT ANALYSIS

A Natural Language Processing project that analyzes sentiment from social media posts to determine public opinion about products, services, or events. Implements various NLP techniques and machine learning models.

USED STACK:

  • Python
  • NLTK
  • spaCy
  • Scikit-learn
  • TensorFlow
  • Pandas
  • Matplotlib
  • Seaborn
View Repository
Análisis de Ofertas Inmobiliarias C&A

C&A CASE: REAL ESTATE OFFERS ANALYSIS

Project focused on modeling and analyzing the real estate market in Cali, based on the C&A (Houses and Apartments) case. The project applied data filtering, exploratory analysis, multiple linear regression modeling, and assumption validation to predict property prices. Additionally, potential property offers were identified and mapped for two requests with pre-approved credits of 350 and 850 million pesos, respectively.

USED STACK:

  • R
  • R Markdown
  • ggplot2
  • Plotly
  • dplyr
  • Leaflet
  • Statistical Models
  • Linear Regression
View RPubs Report
IoT project

AUTOMATED MANUFACTURING CELL CONTROL SYSTEM

A project focused on developing a control system for an automated manufacturing cell, integrating robotics, programmable logic controllers (PLCs), and human-machine interfaces (HMIs) to optimize industrial processes.

USED STACK:

  • Python
  • Neo4j
  • RoboDK
  • PLC Programming
  • HMI Design
  • Looker Studio
View Repository
Robotics project

AUTONOMOUS NAVIGATION ROBOT

A robotics project focused on developing an autonomous navigation system using computer vision and machine learning. The robot can map its environment, avoid obstacles, and navigate to specified destinations.

USED STACK:

  • Python
  • ROS (Robot Operating System)
  • OpenCV
  • TensorFlow
  • Arduino
  • SLAM Algorithms
  • Sensor Fusion
View Repository
UNO Game Python project

UNO CARD GAME IN PYTHON

A fully functional implementation of the classic UNO card game built with Python. Features include multiplayer support, special cards, and an intuitive command-line interface.

USED STACK:

  • Python
  • Object-Oriented Programming
  • Game Development
View Repository

Get in touch_

PHONE:
+57 316-617-3202
EMAIL:
restrepojuanjo@gmail.com

Or just send me an email here

Message

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