This study examines how data analytics can assess and improve training effectiveness at Acetech Machinery Components India Pvt Ltd. By analyzing quantitative and qualitative data, key performance indicators (KPIs) such as skill enhancement, productivity, and knowledge retention are identified. The research utilizes predictive analytics and machine learning to forecast training outcomes and suggest personalized learning strategies. The findings aim to optimize training programs, leading to higher efficiency, reduced errors, and improved employee performance, highlighting the role of data analytics in corporate training and organizational growth.