Where Is Ireland Building?
End-to-end analysis of Ireland's housing supply using CSO data — DuckDB, Seaborn EDA, and an interactive Streamlit dashboard.
I'm Marcal Soteras, a Computing graduate from Dublin Business School with First Class Honours in Data Analytics and Big Data. I'm passionate about machine learning and data science, with a focus on building end-to-end projects that extract meaningful insights from real-world datasets.
End-to-end analysis of Ireland's housing supply using CSO data — DuckDB, Seaborn EDA, and an interactive Streamlit dashboard.
This project predicts customer churn using machine learning, helping businesses identify at-risk customers before they leave. By analysing account details, service usage, and payment methods, we trained and optimised Decision Tree, Random Forest, and XGBoost models. The goal is to provide insights that help businesses reduce churn and improve customer retention.
This project predicts housing prices using machine learning. It involves exploratory data analysis, data visualisation, preprocessing, and training models like Random Forest and Gradient Boosting. The best model was selected through hyperparameter tuning, demonstrating a complete data science workflow.
Feel free to reach out to me for any inquiries, collaborations, or opportunities. I’d be happy to connect!