My Projects
Dive into my curated projects where data meets insight. Each project reflects my learning journey—starting with hands-on exploration using Python and R.
Exploring & Predicting Employee Attrition With Machine Learning in R
Employee turnover can be costly and disruptive for any organization.
In this project, I explore a fictional company dataset to identify key drivers of employee attrition and build a machine learning model to predict which employees are at risk of leaving.
Using techniques such as class imbalance handling, feature engineering, and hyperparameter tuning, I developed a predictive model that balances accuracy with interpretability.
This project demonstrates how data science can provide valuable insights into workforce management and help organizations make proactive HR decisions.
More amazing content coming soon!
Check out my projects in progress on GitHub: https://github.com/svarong-port/data-analytics-projects.git
Shi no Shigoto 