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## 🧩 Skills
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- Clinical data preprocessing (missingness, outliers, encoding)
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- Statistical analysis (R, Python, SPSS)
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- Machine learning for risk prediction
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- Feature engineering guided by clinical knowledge
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- Model evaluation and interpretability
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- Reproducible pipelines (pandas, PySpark, sklearn)
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- Scientific communication and reporting
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## 💼 Experience
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**Clinical Data Analyst**
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- Analysis of structured clinical datasets
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- Development of reproducible analytical workflows
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- Risk prediction modeling in healthcare contexts
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- Preparation of technical and scientific reports
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## 📬 Contact
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- GitHub: https://github.com/PatriCT240
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- [LinkedIn](https://www.linkedin.com/in/patricia-c-torrell/)

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