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🤖 Data Scientist and Machine Learning Engineer | 📚 System Engineer | Universidad de Antioquia, From 🇨🇴. 🫂 Speaker @web3foru.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Konecta
Data Scientist
June 24, 2026 – Present
Data-Science-Sessions
October 27, 2022 – October 12, 2023
Data-Science-Sessions — GitHub repository
View Projecttrain-test-sepFormer
June 18, 2021 – June 21, 2021
train-test-sepFormer — GitHub repository
View Projectdriver-drowsiness-app
May 14, 2020 – May 30, 2020
driver-drowsiness-app — GitHub repository
View ProjectPDI
February 19, 2020 – June 22, 2022
Repository with example digital image processing (PDI) UdeA course
View ProjectDeep-Learning-Specialized-
January 31, 2020 – July 27, 2020
Tasks of the specialization in deep learning offered by coursera
View ProjectConvolutional-Neural-Networks
January 24, 2020 – January 31, 2020
Convolutional-Neural-Networks — GitHub repository
View ProjectVoice_Recognition
July 29, 2019 – March 9, 2020
Machine learning UdeA seedbed, in this repository we are creating a model that recognizes 20 short voice commands (1 second)
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on personal learning and exploration in Data Science and Machine Learning, which aligns with a growth-oriented culture. However, the lack of diverse project types beyond personal academic/exploratory work and limited professional experience (only one current role with no details) makes a comprehensive cultural fit assessment challenging. The projects are primarily academic or exploratory, which might indicate a good fit for research-heavy environments but less so for fast-paced, product-driven roles without further evidence.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.