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Achievement: QuickdrawAchievement: Pull Sharkx2

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LiliGC/README.md

Hi, I'm Liliana Garmendia 👋

Biochemist Data Scientist

Data Scientist with a background in Biochemistry and Bioinformatics. I’m currently focusing on applying ML/AI in life sciences and healthcare.

🔬 About Me

Currently: Building ML/AI solutions with Python, TensorFlow, and AWS

Community: Python Chile Coordination Team

Background: Molecular biology researcher turned data scientist

🛠️ Tech Stack

Python TensorFlow Keras Scikit-learn Jupyter Flask Django Streamlit Next.js Docker AWS Git GitHub MySQL

📂 Featured Projects

Breast Cancer Risk Predictor

ML model with interpretable predictions and responsible AI practices. Includes feature analysis and comprehensive metrics.

Tech: Python, Scikit-learn, Streamlit, Docker

Iris Species Classifier

Complete deployment pipeline with REST API and interactive frontend.

Tech: Scikit-learn, Flask, Streamlit, Docker Compose

Lab Supplies E-commerce

Full-stack platform with authentication and role-based access.

Tech: Django, MySQL, Bootstrap 5

PyCon Chile Website

Contributed to the development of the official website for Chile's largest Python conference, working within a collaborative dev team.

Tech: Next.js, React, TypeScript

📊 GitHub Stats

Top Languages

🏆 Certifications

📫 Connect

Portfolio LinkedIn

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  1. iris-classifier-flask-streamlit iris-classifier-flask-streamlit Public

    Clasificador de flores Iris con una API en Flask, un frontend en Streamlit y orquestado con Docker Compose.

    Python 2

  2. Lab-individual-heroku Lab-individual-heroku Public

    JavaScript 1

  3. LiliGC.github.io LiliGC.github.io Public

    Portafolio

    HTML 1

  4. advanced-breast-cancer-classifier advanced-breast-cancer-classifier Public

    Proyecto MLOps de clasificación de cáncer de mama. Incluye API (Flask), Frontend (Streamlit), orquestación con Docker y despliegue automatizado en Google Cloud con GitHub Actions.

    Python 2