
π€ Data Scientist and Machine Learning Engineer | π System Engineer | Universidad de Antioquia, From π¨π΄. π« Speaker @web3foru.
AI is analyzing your overall scoreβ¦
Identifying your key strengthsβ¦
Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
Konecta
Data Scientist
June 24, 2026 β Present
Data-Science-Sessions
October 27, 2022 β October 12, 2023
Data-Science-Sessions β GitHub repository
View Projecttrain-test-sepFormer
June 18, 2021 β June 21, 2021
train-test-sepFormer β GitHub repository
View Projectdriver-drowsiness-app
May 14, 2020 β May 30, 2020
driver-drowsiness-app β GitHub repository
View ProjectPDI
February 19, 2020 β June 22, 2022
Repository with example digital image processing (PDI) UdeA course
View ProjectStyleVoiceTransfer-MOS
February 1, 2020 β January 7, 2023
Style Voice Transfer Frontend
View ProjectDeep-Learning-Specialized-
January 31, 2020 β July 27, 2020
Tasks of the specialization in deep learning offered by coursera
View ProjectConvolutional-Neural-Networks
January 24, 2020 β January 31, 2020
Convolutional-Neural-Networks β GitHub repository
View ProjectVoice_Recognition
July 29, 2019 β 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.