Data Science | Machine Learning | Statistical Modeling
I am a student of Master's in Biostatistics and Bioinformatics Applied to Health at School of Health of Politécnico Porto (ESS-IPP), with a strong foundation built over 8+ years of experience in Analytical Chemistry and complex laboratory data interpretation. My passion lies in translating real-world problems into data-driven solutions, focusing on Machine Learning, Data Analysis, and Bioinformatics. I combine scientific rigor with advanced computational tools to uncover actionable insights and optimize processes.
- Machine Learning & Predictive Modeling: Hands-on experience building classification models, applying supervised learning techniques such as Decision Trees, Random Forest, and Support Vector Machines (SVM).
- Statistical & Mathematical Foundations: Strong command of statistical inference, longitudinal data modeling (General Linear Regression), linear algebra, and differential calculus.
- Data Engineering & Processing: Proficient in Exploratory Data Analysis (EDA), distributed data processing, and parallelization using Apache Spark with Python.
- Model Optimization: Practical experience in data preprocessing, model selection, hyperparameter tuning, and rigorous evaluation using metrics like accuracy, recall, and precision.
- Programming Languages: Python (Pandas, NumPy, scikit-learn), SQL, R.
- Data Visualization: Matplotlib, Seaborn, Tableau.
- Big Data & Cloud Tools: Apache Spark, Google Colab.
- Workflow & Version Control: Git/GitHub, Jupyter Notebook, and Object-Oriented Programming (OOP).
- 📈 Volis Case Study: Applied advanced data science methodologies to a real-world business scenario, encompassing data preprocessing, Exploratory Data Analysis (EDA), and statistical modeling to extract actionable insights and drive data-informed decision-making.
- 📊 Student Intervention System: End-to-end development of a predictive model in Python (scikit-learn, Pandas) designed to identify students at risk of academic failure, applying advanced machine learning evaluation and tuning techniques.
- 🧩 Wood Puzzle Game (Algorithmic Logic): Created a modular framework in Python with class hierarchies to test and strengthen algorithmic thinking and OOP principles.
- IBM Data Science Professional Certificate (Python, Machine Learning, Data Analysis).
- Google Data Analytics Professional Certificate (SQL, R, Data Visualization).
🚀 Always learning. Always building.