Ricardo Pretelt
Machine Learning Engineer
Bogota, Colombia
Summary
👤
Senior🎓
Top SchoolRicardo Pretelt is a Machine Learning Engineer with eight years of experience applying analytics and ML to drive data-informed decisions across energy, utilities, and industrial projects from Bogotá, Colombia. He has led BI teams and delivered end-to-end analytical solutions—combining Python, SQL/BigQuery, and Power BI—to improve data integrity, automate workflows, and surface actionable insights for stakeholders. His background in mechanical engineering and a master's in Intelligence and Data Analytics give him a pragmatic edge in translating production and operational data into measurable efficiency gains. Ricardo also contributes to open-source by translating PySyft tutorials into Spanish, helping make privacy-preserving ML resources accessible to Spanish-speaking practitioners.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Intelligence and Data Analytics, Master's degree, Intelligence and Data Analytics at Universidad de los Andes - ColombiaBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Universidad del Norte
English, Spanish, German
Github Skills (13)
user-manual10
learn-ruby-on-rails10
basics10
translation10
documentation10
sym9
internationalization9
localization9
python8
federated-learning7
pytorch6
deep-learning6
deeplearning-ai6
Programming languages (5)
Github contributions (5)
OpenMined/PySyft
Dec 2019 - Feb 2020
Perform data science on data that remains in someone else's server
Role in this project:
Technical Writer
Technical WriterContributions:5 commits, 9 PRs, 11 comments in 2 months
Contributions summary:Ricardo's contributions primarily revolve around translating PySyft tutorials into Spanish. This involved translating tutorial content, updating code blocks, and adding translator attribution. The user's work is focused on making the PySyft tutorials accessible to a wider audience, demonstrating a focus on documentation and localization. This includes updates to existing files and creating translations for different tutorial sections.
pytorchcryptographyacquiringpythonscience
ricardopretelt/data-analysis-in-python
Jun 2019 - Jul 2022
Intro to the most useful libraries for data analysis in python
Contributions:115 commits, 78 PRs, 109 pushes in 3 years 1 month
data-analysispythondatadata-scienceanalysis
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