Data scientist | Python Developer | Machine learning scientist
Colombia
IT & Systems engineer: ML researcher since 2019. Data Scientist and ML Scientist. Former competitive programming team leader. Taekwondo red belt and Choir Bass. Science and open knowledge supporter.
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Data Science Engineer
MercadoLibre
May 2024 - Current(2 years 6 months)
Machine Learning: Developed and deployed a fraudulent item listing detection model, achieving a PR AUC of 0.89, and covering all phases from research and development to production deployment. ◦ Research: Implemented a state-of-the-art autoencoder-based oversampling technique (from a recent research paper) for a seller-level fraud detection model aimed at preventing empty boxes from fraudulent sellers. Boosted the PR AUC by 10% through enhanced data augmentation. ◦ Infrastructure: Performed load testing, monitoring, and analysis for both production and pre-production models, and migrated Python infrastructures to newer versions to eliminate vulnerabilities.
Machine Learning Engineer
TheMadFox
Aug 2023 - Apr 2024(9 months)
◦ Machine Learning: Implement robust and scalable software solutions, utilizing Python, Pandas, and other industry-standard tools. ◦ Artificial Intelligence: Build cutting edge technologies using prompt engineering, LLM (Large Language Models) implementation and OpenCV (Computer Vision) techniques. ◦ Teamwork: Collaborate with cross-functional teams to understand business requirements and translate them into machine learning and automation solutions.
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Associate Data Scientist
R2 Capital (Y Combinator W21)
Feb 2022 - Aug 2022(7 months)
Credit risk management model (NPL reduction): Reduced NPL (non-performing loans) by 14% by developing state-of-the-art forecasting and anomaly detection frameworks (fraud) using research on analytics, machine learning and deep learning models, while exceeding expected OKRs. ◦Forecasting: •Achieved 100% of merchants (500K) transactional data forecast in around 30 minutes, helping in the NPL reduction process by rapidly developing and integrating the forecasting framework prototype into the Credit Model Pipeline, using DevOps (CI/CD) practices and AI research. •Led forecasting, data analytics, anomaly (fraud) detection and statistical testing approaches business-wide for supporting and communicating Data Driven decisions bas
Volunteer in translation and mentoring for Data Science bootcamps
DPHI
Mar 2021 - Nov 2022(1 year 9 months)
Mentoring: Provided guidance and recommended problem solving mechanisms for bootcamp attendees dealing with difficult issues. ◦Material translation: Translated bootcamp material for the 1st Spanish Data Science Bootcamp.
Members preparation for the national competitive programming contest.
Private tutor / consultant
Independent Consultant
Jul 2016 - Current(10 years 4 months)
Private tutoring and small/bachelor grade project consultancy for programming languages (Matlab Python, R, Arduino) and Data Science topics.
Programming/Data Science Consultant and Tutor
Freelancer
Jun 2016 - Dec 2021(5 years 7 months)
Student focused approach for project specification and consultancy: Assisted clients in research, completing project deliverables, auditing, collaborating, and providing guidance on data science methodologies and best practices of engineering (MATLAB, Python, R, Arduino, C) End-To-End.
Scolarship monitor / researcher
Universidad Pontificia Bolivariana
Jan 2016 - Dec 2019(4 years)
Administrative activities, class subject support, cybersecurity subject labs desing, institutional activities organization and management.
Education
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LangChain: Chat with Your Data
Deeplearning.ai
Oct 2023 - Nov 2023(2 months)
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Deep Learning using Tensorflow
IBM via Coursera
Aug 2023 - Nov 2023(4 months)
MicroMaster in Data Science public Remote experience