Nidhi Parab Email & Phone Number

Buffalo, Ny, Us

Mumbai, Maharashtra, India

- Hyperspectral Images are 3D images consisting of multiple wavelengths, providing significantly more information than standard RGB images. HSI Classification faces challenges due to limited datasets, often leading to overfitting and poor generalization to new data.- To overcome these challenges, we enhanced a Few Shot Learning method by integrating Self-Attention and Temperature Scaling into the model. This innovative approach aimed to improve the model's accuracy and robustness with minimal training samples.- I was responsible for designing the Self-Attention network architecture, conducting ablation studies, and performing result analysis. Our experiments were conducted on five leading Hyperspectral Image datasets: Indian Pines, Salinas, Kennedy Space Center, Botswana, and Pavia University.- We achieved an impressive accuracy of 99.86%, surpassing the state-of-the-art (SOTA) methods.

As an Advanced Technical Interview Prep Coach at CodePath.org, my role is to provide expert guidance and support to university students in our rigorous 10-week remote Advanced Technical Interview Prep course. I am responsible for:- Assisting students in overcoming challenges specific to advanced problem-solving, helping them develop efficient strategies and optimize their problem-solving approach.- Facilitating engaging and interactive group discussions, fostering a comfortable and inclusive learning environment for students to thrive in.- Offering comprehensive guidance on advanced programming concepts, including hash, heap, queue, stack, linked list, and dynamic programming, equipping students with the necessary skills to tackle complex interview problems.- Providing detailed and constructive feedback on code quality, efficiency, and readability to enhance students' technical proficiency and coding best practices.

Supervisor - Dr. Manimala Mahato

Mumbai, Maharashtra, India

- Developed a web-based platform using to facilitate efficient management of student grades for a network of 300 schools.- Utilized Next.js, Tailwind CSS, and MySQL to design and implement the platform, replacing the previous manual process of using Google Forms and Excel sheets.- Implemented core functionalities such as the management of student grades for the entire semester, volunteer assignment tracking, and collaboration features for teachers, heads of departments (HoDs), and points of contact (PoCs).- Contributed to the project's documentation, including technical specifications, user manuals, and release notes, to facilitate future maintenance and enhancements.- Proactively identified areas for improvement and proposed innovative ideas for future enhancements, such as machine learning integration and advanced data visualization.

- Lead Developer for Superposition Theorem Simulation.- Collaborated closely with a team of students and teachers to gather requirements and ensure the successful implementation of the simulation.- Created a simulation for the Superposition theorem, a fundamental concept in electrical engineering.Utilized JavaScript, HTML, and CSS to design and implement the simulation, ensuring a user-friendly and immersive learning experience.- Developed simulations and interactive learning tools to enhance the understanding and growth of aspiring engineers.- Conducted thorough testing and debugging to ensure the functionality, accuracy, and reliability of the simulation.

Master Of Science - Ms, Computer Science

Relevant Coursework: Fall 24: Machine Learning, Data Intensive Computing

Bachelor Of Engineering - Be, Computer Engineering, 9.66 Cgpa

Activities and Societies: . Department Topper (2021-22) - Rank 4 Computer Society of India - General Secretary Student Council.

Winter School, Network Science

Hsc, Science, 85%