Motivated Computer Science (AIML) student with strong foundations in Python, OOPS, DBMS, and core software development concepts. Hands-on experience in building and deploying machine learning models through academic and internship projects. Comfortable working with databases, writing structured queries, and applying problem-solving skills to real-world scenarios. Eager to contribute as an IT & Digital Technologies Intern while continuously learning and adapting to industry standards.
Developed a machine learning model to predict calories burned based on user parameters.
Built a basic machine learning-based ransomware detection system.
Applied Python, SQL, and machine learning techniques for data analysis, visualization, and business reporting. Assisted in dataset preparation, analytical report development, and database management to support data-driven decision-making.
Developed and deployed ML models using Microsoft Azure Cognitive Services and Azure ML Studio for AI-based applications. Gained experience in data preprocessing, model evaluation, and integrating APIs for scalable AI solutions.