I'm a Data Scientist with a strong background in data analysis, machine learning, and automation. My work focuses on extracting insights from complex datasets, optimizing workflows, and building scalable data solutions. I enjoy solving challenging problems and applying data-driven methodologies to real-world scenarios.
- Machine Learning & AI – Developing and testing predictive models.
- Data Engineering – Working with ETL, data pipelines, and cloud computing.
- A/B Testing & Experimentation – Designing controlled experiments to validate hypotheses.
- Big Data & MLOps – Scaling machine learning models and deploying them in production.
- Biometric Data Analysis – Experience working with cognitive biometrics for health applications.
💻 Programming: Python, R, SQL
📊 Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
⚙️ Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch
📡 Big Data & Cloud: Apache Spark, Hadoop, AWS, GCP, Azure
🛠️ Tools & DevOps: Git, Docker, FastAPI, Flask, TensorFlow Serving
- LinkedIn: linkedin.com/in/adriasantacreu
- GitHub: github.com/adriasantacreu