HR ANALYTICS-EMPLOYEE PROMOTION
Oct 2024 - Nov 2024 (2 months)
Developed a data-driven project to analyze employee promotion patterns using Python libraries such as Seaborn, NumPy, Matplotlib, and Pandas. The process involved importing datasets with read_csv, previewing data samples, and performing data cleaning by handling missing values and removing irrelevant columns to enhance reliability. Advanced visualization techniques, including heatmaps, categorical plots, and histograms, were utilized to uncover actionable insights into promotion trends.