Data Science & ML Engineer with experience in data analysis, machine learning, and metric-driven optimization. I'm passionate about transforming data into clear insights and building solutions that generate real impact.
- ๐ Data Science training (4Geeks)
- ๐ Experience in operational analytics, advanced reporting, and KPI optimization
- ๐ค Predictive modeling with Python, scikit-learn, and deployment with Streamlit
- ๐ง Featured Project: Parkinsonโs Telemonitoring โ ML Pipeline & Random Forest
- Languages: Python, SQL
- Data: pandas, numpy, seaborn, matplotlib
- ML: scikit-learn, pipelines, regression, feature engineering
- Tools: Jupyter Notebook, Google Colab, GitHub, Streamlit
- Soft Skills: critical thinking, data communication, continuous improvement
- Parkinsonโs Telemonitoring: Predictive modeling for healthcare and Streamlit web application
- LinkedIn: www.linkedin.com/in/camila-rubio-cuellar
- GitHub: https://github.com/Rivalry11