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madatascienceml/README.md

Hi, I'm Manuel Daza

Machine Learning / Data Science, transitioning from a clinical background as a Nurse specialized in Ophthalmology (Medical Retina) into healthcare-focused ML.

About me

• Nurse specialized in Ophthalmology, with hands-on experience coordinating pharmaceutical clinical trials and supporting complex surgical and diagnostic procedures.

• Completed an intensive Data Science & Machine Learning Bootcamp at Ironhack — Python, SQL, Statistics, Machine Learning, Deep Learning, Data Engineering.

• Focused on Health Tech, Clinical Data, and AI applied to healthcare and pharma — building reliable, human-centered data products where a clinician stays in the loop.

Featured project

Retinal Screening Triage System — https://github.com/madatascienceml/project-ds-end-to-end-v2

AI-assisted diabetic retinopathy triage system combining an EfficientNetB0-based image classifier, a deterministic rule engine for triage action and follow-up interval, and a RAG-powered module that drafts a structured clinical pre-report — always keeping a clinician in the loop.

Tech stack

Python · SQL · Pandas · NumPy · Scikit-learn · TensorFlow / Keras · LangChain / RAG · Streamlit · Git & GitHub

Let's connect

LinkedIn: https://www.linkedin.com/in/manueldazacruz/

Open to Machine Learning / Data Scientist roles, remote or Europe-based, with a particular interest in Health Tech and Clinical Data.

Pinned Loading

  1. IronKaggle_Project IronKaggle_Project Public

    Jupyter Notebook

  2. project-ds-end-to-end-v2 project-ds-end-to-end-v2 Public

    Forked from ironhack-labs/project-ds-end-to-end-v2

    AI-assisted diabetic retinopathy triage system — EfficientNetB0 grading + deterministic rule engine + RAG-generated clinical reports

    Jupyter Notebook