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PhD| Health Data | Biotech | AI x Blockchain for Science & Digital Health |
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cgm-variability-analysis
March 10, 2026 – Present
Analysis pipeline for continuous glucose monitoring (CGM) data including variability metrics, entropy measures, DFA and PCA.
View ProjectOccupationalHealth-LATAM-Dashboard-ML
January 11, 2026 – Present
This project simulates a realistic occupational health data analysis environment for a multinational company operating across Latin America. The goal is to build interactive dashboards, predictive models, and integrated machine learning services.
View ProjectPredicting-Heart-Disease-from-Clinical-Attributes
December 29, 2025 – Present
This repository uses the UCI Cleveland Heart Disease dataset to build and evaluate machine learning models that predict the presence of heart disease. We apply preprocessing, exploratory data analysis (EDA), classification models, hyperparameter tuning, and interpretability (SHAP).
View Projectdiabetes-prediction-xgboost-shap
December 24, 2025 – Present
Predictive modeling of diabetes using the Pima Indians dataset. Includes preprocessing, EDA, multiple classifiers, hyperparameter tuning (GridSearchCV), model evaluation (ROC, F1-score), and interpretability with SHAP. Built for healthcare ML applications
View Projectforecasting-ventas-ml
December 17, 2025 – December 17, 2025
Machine Learning project for sales forecasting with Streamlit
View ProjectScaffold-ETH-2-Challenges
December 3, 2024 – December 3, 2024
Ethereum project to build Dapps using Scaffold-ETH
View ProjectSolidity_Basic_Course
October 3, 2024 – November 3, 2024
This is a solidity course to start from scratch.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on data science and machine learning, which aligns with a Data Scientist role. However, there is also an interest in Solidity and Ethereum, indicating a broader, potentially less focused, technical interest. The lack of professional experience or team projects makes it difficult to assess cultural fit comprehensively.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.