I’m a Data Scientist working at the intersection of data, AI and technology, currently based in Bristol.
At APTIM, I’ve worked with operational and sensor data from industrial environments, building data solutions for areas including Human Resources, Occupational Health and Logistics. I’m now also exploring how AI can support planning and decision-making, including a project focused on extracting and connecting information from SAP R/3 maintenance data.
My curiosity has taken me from industrial data to AI, from building digital products to experimenting with ideas of my own — including MoodMuse, a project that started with a painting.
- Core Technologies
- Python (Pandas, Scikit‑Learn, TensorFlow, Keras), R, SQL
- Machine Learning
- EDA, Feature engineering, Model Evaluation, Hyperparameter tuning, Supervised Learning (Linear Regression, Decision Trees, Random Forests) and Unsupervised Learning (K-Means, Hierarchical Clustering)
- Cloud and AI services
- Azure (Azure ML), Google Cloud (Vertex AI), OpenAI API, MongoDB Atlas, Firebase
- Visualization
- Looker, Power BI, Tableau
- Automation
- Power Automate, PowerApps, GitHub Actions
- Building
- HTML, CSS, JavaScript, FastAPI, Flutter