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Isaac UribeIU
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Isaac Uribe

@isaacuribe1

Data Science Apprentice at Seguros SURA who built a clinical NLP pipeline and an explainable model to identify Orphan Disease risk.

Colombia
Message

At Seguros SURA, I built a clinical database from electronic health records and developed NLP pipelines to extract, clean, and anonymize unstructured clinical text. I also developed and validated a supervised model for early identification of patients at risk of Orphan Disease, using SHAP to interpret its predictions.

At the Faculty of Engineering, Universidad de Antioquia, I developed a student chatbot with a RAG architecture, a FastAPI backend, and LLM APIs. It answered 40% of student requests, complaints, and claims.

At Universidad de Antioquia, I analyzed medical data and researched machine learning for telemedicine. At Mackenzie Presbyterian University, I prepared image data and trained U-Net models for semantic segmentation.

Experience

Work history, roles, and key accomplishments

UA

Research Assistant

Universidad de Antioquia

Jan 2025 - Feb 2026 (1 year 1 month)

Analyzed and modeled medical data with Python and Grafana, researched ML strategies for telemedicine, and calibrated IoT devices for clinical data collection.

SS

Data Science Apprentice

Seguros SURA

Jul 2025 - Jan 2026 (6 months)

Built and structured a clinical database from electronic health records, designed NLP pipelines for clinical text extraction and anonymization, and developed a supervised classification model for early identification of patients at risk of Orphan Disease.

UA

Developer - Student Chatbot

Universidad de Antioquia

Jan 2025 - Jun 2025 (5 months)

Designed and implemented a RAG architecture for automatic responses to student inquiries, developed the FastAPI backend, and integrated LLM APIs for WhatsApp consumption, answering 40% of student requests.

MU

Researcher and Developer

Mackenzie Presbyterian University

Jun 2024 - Nov 2024 (5 months)

Curated and preprocessed an image dataset of 2D materials, designed and trained U-Net architectures, and performed comparative performance evaluation using precision, recall, and accuracy metrics.

Education

Degrees, certifications, and relevant coursework

UA

Universidad de Antioquia

B.Eng., Systems Engineering

2018 -

Grade: 4.5/5.0

Pursuing a B.Eng. in Systems Engineering with a GPA of 4.5/5.0, expected to graduate in 2026.

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