I'm Marcal Soteras, a Computing student at Dublin Business School, focusing on Data Analytics and Big Data. I’m passionate about coding, especially in data analysis and data science, where I enjoy uncovering insights from complex datasets. I'm always eager to learn new technologies and stay current with trends in data science.
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.
I developed a dashboard using 2016 Airbnb data from Seattle, Washington, to provide key insights for rental business owners. The visualisations cover price per zip code, pricing trends, and the most common number of rooms, helping hosts optimise their listings and boost profitability.
Feel free to reach out to me for any inquiries, collaborations, or opportunities. I’d be happy to connect!