Vatsal Gujarati

• Developed and enhanced Machine Learning (ML) frameworks for 2 key projects • Implemented automation programming, achieving a notable 30% reduction in manual tasks • Designed and executed reliable, bug-free code modules for various applications, reducing error by 20% • Improved AI model performance 15% using mathematical expertise

• Led database design and management for 1 project • Ensured data quality and reliability through assessments • Identified patterns and trends in large data sets, providing valuable insights and Visualized data to facilitate effective communication of complex information • Improved data flow process, achieving a 25% faster data handling • Utilized predictive modelling to convert data into actionable insights, leading to a substantial 12% improvement in outcome predictions

Current grade: 2.4 Courses: Machine Learning and Data mining Data Science Web Science Big Data Artificial Intelligence Engineering Web and Data-intensive Systems Pattern Recognition Web information Retrieval Semantic Web Graph Theory Network Theory and Dynamic Systems Optimization

Grade: 1.89 GPA Courses: Python Programming C, C++, C#, .Net Data mining Software Engineering Data Structure Advanced Java Database Management System Web Technology Computer Network Operating System Analysis and Design of Algorithms Advanced Engineering Mathematics Numerical and Statistical Methods for Computer Engineering