I am Diganta Diasi, currently enrolled in the M.Tech program in Data Science at the prestigious Indian Institute of Technology, Guwahati. Before this. My academic journey began with a Bachelor of Science (B.Sc.) degree in Mathematics, where I gained a solid foundation in mathematical principles and problem-solving techniques. Building upon this, I pursued a Master of Science (M.Sc.) degree in Applied Mathematics from Vidyasagar University, West Bengal
M.Tech - Data Science
Course Work : Machine Learning, Deep Learning, Natural Language Processing, Image Processing with Machine Learning, Data Visualization, Stochastic Model
M.Tech- Computer Science and Data Processing
Course Work : Operating System, Graph Theory, Computer network, Object-Oriented Programming, Cryptography and Network Theory, System Programming, Optimization Technique, DSA, Information and Coding Theory
M.Sc.- Applied Mathematics
Course Work : Complex Analysis, Numerical Analysis, Partial Differential Equation, Topology, Functional Analysis, Fluid Dynamics, Operations Research, Continuum Mechanics
B.Sc.- Mathematics
Course Work : Linear Algebra, Abstract Algebra, Probability, Real Analysis, ODE, Mathematical Modeling, Real Analysis, Dynamics, Vector Analysis
Supervisor: Dr. Somesh Kumar, Department of Mathematics, IIT Kharagpur
Work: Initiated the development of an interactive Visualizer Web Application using HTML, CSS, and JavaScript. The application vividly illustrates the functioning of Sorting, Graph, and Tree algorithms, featuring dynamic animations and robust core functionalities. Implemented crucial algorithms like BFS, DFS, and Dijkstra’s within the web application, enabling efficient pathfinding between nodes. This project showcases a deep understanding of algorithmic concepts and adept JavaScript programming skills
Supervisor: Prof. Arijit Sur, Department of Cumputer Science, IIT Guwahati
Work: Developed a novel model for zero-shot semantic segmentation, aiming to bridge the gap between seen and unseen classes in computer vision tasks. Leveraged visual and auxiliary information to achieve accurate and fine-grained segmentation, contributing to the advancement of computer vision technology. Addressed the challenge of impractical or costly labeled data by utilizing semantic information, demonstrating the value of zero-shot learning in various fields such as autonomous driving, augmented reality, and medical imaging
Supervisor: Self Project
Work: I Developed the 'SigmaRoger' Chrome extension, offering task management, timers, and URL control. Using HTML, CSS, JavaScript, and Chrome APIs, it streamlines productivity with features like task modification, timers, and sound notifications.
Hours Worked
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