Vatsal Gujarati

•Conduct big data analyses for Customer Insight in Body, Interior, and Exterior domains •Analyze vehicle-generated data using tools like Athena, AWS Glue, AWS QuickSight, and Palantir, while developing analysis logics in SQL and PySpark •Update and extend Python scripts, utilizing Jira and Confluence for project management and documentation •Stepped up to lead and supervise the team during key projects, ensuring successful execution and delivery

Developed and enhanced ML frameworks for 2 major projects, supporting deployment of AI solutions. Implemented automation scripts, reducing manual workflows by 30% and improving team productivity. Applied K-Means clustering to segment customers, enabling targeted marketing, and retention strategies. Leveraged deep learning techniques and mathematical expertise to boost AI model performance by 15%.

Cleaned and transformed 50K+ datasets with SQL, Excel, and Python, improving accuracy by 20%. Built 10+ dashboards in Power BI/Tableau, reducing manual reporting time by 30%. Performed EDA, statistical modeling, and A/B testing, boosting campaign performance by 15%. Automated workflows with SQL & Python ETL, cutting processing time from 2 days to a few hours.

Courses: Machine Learning and Data mining, Data Science, Big Data, Artificial Intelligence, Graph Theory, Web Science, Engineering Web and Data Intensive Systems, Network Theory and Dynamic Systems

Grade: 1.8 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