Khushi Rawat ^{Top-Executive}

Currently an AI/ML Project Trainee at STMicroelectronics, contributing to the AI4Budget project under the global AI BooSTamp initiative. Focused on building advanced machine learning pipelines for predictive modeling, outlier detection, and time series forecasting, leveraging tools such as Python, pandas, and scikit-learn. Actively involved in optimizing gradient boosting algorithms and tree-based regression models to enhance performance and efficiency.

Pursuing an MTech in Computer Science at Netaji Subhas University of Technology, following a BTech specialization in Data Science and Artificial Intelligence from SRM University. Committed to leveraging AI and data analytics to tackle complex challenges and drive innovative solutions. Dedicated to fostering collaboration and knowledge-sharing through mentoring and hands-on workshops.