Sustainable IT Workforce Planning Using Machine Learning
Abstract
Balancing workforce demand and resource allocation in IT projects is critical for efficiency and sustainability. This paper introduces a machine learning model for workforce planning, leveraging historical project data and skill requirements to predict resource needs and optimize team compositions. The system employs natural language processing (NLP) and regression models to analyze skill gaps and recommend upskilling strategies. Implementation in a global IT firm improved project delivery efficiency by 18% and reduced hiring costs by 12%. The research aligns with SDG 8: Decent Work and Economic Growth and SDG 9: Industry, Innovation, and Infrastructure.
References
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Artificial Intelligence-Driven Predictive Analytics for Educational Behavior Assessment. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/638
Adusumilli, S., Damancharla, H., & Metta, A. (2020). Machine Learning Algorithms for Fraud Detection in Financial Transactions. International Journal of Sustainable Development in Computing Science, 2(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/639
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Deep Learning Techniques for Image Recognition in Autonomous Vehicles. (2021). International Meridian Journal, 3(3). https://meridianjournal.in/index.php/IMJ/article/view/94
Adusumilli, S., Damancharla, H., & Metta, A. (2021). Integrating Machine Learning and Blockchain for Decentralized Identity Management Systems. (2021). International Journal of Machine Learning and Artificial Intelligence, 2(2). https://jmlai.in/index.php/ijmlai/article/view/46
Bauskar, S., Boddapati, V. N., Galla, E. P., Bauskar, S. R., Patra, G. K., Kuraku, C., & Madhavram, C. (2021). Harnessing the Power of Big Data: The Evolution of AI and Machine Learning in Modern Times. Available at SSRN 4988863.
Madhavram, C., Galla, E. P., & Boddapati, V. N. (2021). View of Big Data And AI Innovations In Biometric Authentication For Secure Digital Transactions. Available at SSRN 5029395.
Boddapati, Venkata Nagesh and Sarisa, Manikanth and Patra, Gagan Kumar and Kuraku, Chandrababu and Konkimalla, Siddharth and Rajaram, Shravan Kumar, An Effective Predicting E-Commerce Sales & Management System Based on Machine Learning Methods (December 20, 2020).
