Vignesh Sundil

Experience

• 

  Self-employed

  Oct 2023 - Jan 2024

  This project involved creating a user-friendly rental service website using React.js, Bootstrap, HTML, and CSS, ensuring a seamless user experience. A robust backend was implemented with .NET C# to efficiently manage rental transactions and data.A SQL database was utilized to securely store and manage rental information, enabling quick data retrieval and analysis for optimized business operations. Real-time communication between the frontend and backend was established through well-structured API calls.Customers can easily browse, select, and rent vehicles via an intuitive interface, enhancing satisfaction and retention. The focus was on enhancing user experience through convenience, affordability, and reliability. Show less Developed a machine learning model using TensorFlow Keras to classify images as cats or dogs, achieving an accuracy rate of over 95%. Utilized deep learning techniques, particularly convolutional neural networks, to significantly improve classification accuracy.Demonstrated expertise in popular machine learning libraries such as TensorFlow, Keras, Matplotlib, and Numpy, contributing to a 20% increase in model performance efficiency. Designed the project architecture to be highly scalable, enabling efficient handling of large datasets.Achieved a classification accuracy of 94.03% on the cats vs. dogs dataset, showing strong model performance. Reduced training time by 30% compared to previous implementations, highlighting improvements in project scalability and efficiency. Show less

  • Full-Stack Project

    Nov 2023 - Jan 2024

  • AI Project

    Oct 2023 - Nov 2023