After a 5 year career in the sustainabiltiy & ESG domain, I'm transitioning to a role in in data science & analytics for a variety of industries.
Currently, I'm completing an M.Sc. in Data Science at Tilburg University.
Here you can see some of the projects I'm working on to build my skillset in:
- Data exploration / transformation
- Data visualization
- Designing & tuning machine learning models
- Building pipelines
- Querying & maintaining databases
Using:
- Python
- SQL
- Power BI
- Excel
| Project Link | Tools & Libraries | Domain | Methods | Description |
|---|---|---|---|---|
| Predicting employee turnover with machine learning | Python (pandas, numpy, scikit-learn, seaborn) | HR Analytics | Supervised learning - classification | Predict and gain insights into employee turnover factors using decision trees and logistic regression (in progress) |
| Rental revenue prediction with machine learning | Python (pandas, numpy, scikit-learn, seaborn) | Real Estate | Supervised learning - regression | Predict the revenue of rental properties using feature selection and hyperparameter tuning for various machine learning models (in progress) |
| Northwind Traders inventory management with SQL | PostgreSQL | Inventory & Logistics | Exploratory analysis | A SQL script exploring and aggregating inventory and order data for a wholesale gourmet food company |
| Best advertising markets for an e-learning app | Python (pandas, numpy, matplotlib, seaborn), Jupyter Lab | Marketing | Exploratory analysis | Python data exploration and visualization to find the best advertising markets for an e-learning platform |
| Company GHG emissions time series construction | Python (pandas, numpy, matplotlib, scipy) | Sustainability / ESG | Time sereis analysis | Python script to construct emissions pathways based on company emissions data |