Arjun Krishnan

Led the development of a comprehensive web application integrating various transportation modes, providing real-time information and optimized routes. Utilized modern web technologies and integrated live APIs for real-time updates, ensuring a smooth user experience with features like ticket booking and GPS tracking.

Assisted in data collection, cleaning, and preprocessing for machine learning models. Implemented machine learning models using Python libraries such as TensorFlow and scikit-learn, enhancing prediction accuracy by 15% and optimizing model efficiency for a 20% increase in processing speed.

Developed a clustering model on a music dataset to group tracks based on their ability to uplift mood, normalizing tempo data and employing K-means algorithms. Evaluated the model for accuracy and user satisfaction, providing insights into how music tempo influences mood for personalized music recommendations.

Developed a comprehensive system for optimizing flight trajectories using machine learning models, including data preprocessing, normalization, and distance matrix computation. Applied Convolutional Neural Networks (CNN) to optimize flight paths dynamically, improving fuel efficiency, safety, and reducing environmental impact.

Pursued a Bachelor of Technology degree focusing on Artificial Intelligence and Data Science. Gained a strong foundation in AI and Data Science through coursework, developing a solid understanding of advanced technologies and methodologies.

Grade: 86%

Completed Class XII with a focus on the ISC curriculum, achieving a percentage of 86%. Developed strong academic skills and a foundational understanding across various subjects.

Grade: 76.2%

Completed Class X with a focus on the ISC curriculum, achieving a percentage of 76.2%. Built a solid academic base and developed essential learning skills.