Abstract: In today’s dynamic business environment, the alignment of executive skills with organizational needs is critical for sustained competitive advantage. This project, titled "Analyzing Executive Skill Gap Using Predictive Analysis", aims to identify and bridge skill gaps among executives by leveraging data-driven methodologies. The study integrates human resource analytics with predictive modeling to forecast future skill requirements and assess current executive competencies. By employing tools such as regression analysis, machine learning algorithms, and clustering techniques, the project evaluates historical performance data, training records, and industry trends to uncover patterns and discrepancies.

The outcome provides actionable insights for HR professionals and top management, enabling strategic talent development and informed succession planning. This predictive approach enhances decision-making by proactively addressing potential gaps before they impact organizational performance. The research contributes to the growing field of workforce analytics and offers a scalable model adaptable across industries.

| DOI: 10.17148/IARJSET.2025.12521