📊 MSc. Dissertation in Data Science: Remote Work on Mental Health

This repository contains the final code, analyses, and supplementary documentation for my MSc Data Science dissertation, titled: "Remote Work on Mental Health"

💡 Project Overview

This project explores the psychological and productivity-related effects of remote and hybrid work arrangements, using both primary survey data and publicly available secondary datasets.

The analysis includes:

• Data cleaning and preprocessing
• Descriptive statistics
• ANOVA testing
• OLS Regression (Linear)
• Binary Logistic Regression
• Decision-Tree Classifier
• Random Forest Classifier
• Correlation matrix generation
• Linear regression modeling
• Discussion of implications

📊 Tools & Libraries

• Python (Pandas, NumPy, Statsmodels, Seaborn, Matplotlib)
• Jupyter Notebooks
• Git/GitHub for version control

🔐 Data Privacy

• Personally identifiable information (PII) has been removed or anonymized from the datasets.
• The public version of this repository excludes any sensitive raw data.

🔄 Tracking & Versioning

The project was originally tracked privately over the course of several months via a private GitHub repository. This public version contains the cleaned and documented final deliverables.

🙏 Acknowledgements

This work was supervised by Dr. Vinayak Deshpande and Prof. Babita Kashroo, and I’d like to express my gratitude for their support throughout the project.