I am a driven and dedicated professional with a Master's degree in Computer Science and a strong background in software development, data analysis, and problem-solving. Throughout my academic journey and professional experience, I have gained extensive knowledge in programming languages, data analysis techniques, and software development methodologies. I have a passion for innovation and thrive in challenging environments where I can apply my skills to drive meaningful results. With a proven track record of delivering high-quality solutions, I am constantly seeking opportunities to expand my knowledge and stay at the forefront of the ever-evolving field of technology.
University of Rochester | Aug 2022 - Dec 2024
CGPA: 3.2/4
Courses: Machine Learning, Data Mining, Deep Learning, Data Science for Linguistics, Algorithms
Teaching Assistant for Theory of Computation
Research Assistant at Garcea Lab, URMC
Technical Assistant at Office of Registrar, University of Rochester
Pimpri Chinchwad College of Engineering | Aug 2017 - Jun 2021
CGPA: 9.31/10
Courses: Data Structures, Databases, Computer Organization, Object Oriented Programming, Software Engineering, Web Development, Compliers
Awarded with Best Outgoing Student of Pimpri Chinchwad College of Engineering, 2021
Shri Fattechand Jain Junior College | Jun 2015 - May 2017
Percentage: 86.31%
Ranked 3rd in first year
C. M. S Medium High School | Jun 2004 - May 2015
Percentage: 93.40%
Awarded Rs. 8,501/- as a token of appreciation for achieving an outstanding score of 93.40% during the academic tenure.
Office of Registrar, University of Rochester | Feb 2023 - Present
Technologies: PHP, HTML, CSS
TIAA GBS | Jul 2021 - Jul 2022
Technologies: OIPA, XML, RulesPalette, SOAP UI, Kafka, JIRA, GitHub, Java
Coding Club India | Jan 2021 - May 2021
Technologies: Java, Canva, Prezi, Excel
Developed a system that will help in identifying the Indian medicinal leaf using CNN. After the leaf identification, the system will display the leaf’s medicinal values. Achieved an accuracy of 93.17%
A YOLO-based algorithm for the detection of foreign objects in Chest X-Ray images. Compared YOLO v5 and YOLO v6 on the same dataset and studied the difference in performance.
An end-to-end data-intensive application that tracks the inventory of bikes and available docks at a given station 'Broadway & E 14 St' with the Citibike Sharing system in NYC.
A Statistical Analysis of the Syntactic Dependencies between Governing Verbs and their Argument Gerunds. An investigation of the syntactic context within which gerunds of various types may occur.
A platform that enables the user to create a quiz as per his/her choice. It enables the user to solve a quiz and view the results for the same
This project aims to detect whether or not a person is wearing a face mask. The image input which you give to the system will be analyzed and the predicted result will be given as output. Accuracy of 96.47%