M.Sc. Computer Science, Dept. of CS, Faculty of Mathematical Sciences, University of Delhi

• Artificial Intelligence
• Deep Learning
• Machine Learning
• Data Mining
• Network Science
• Digital Image Processing

B.Sc. Physical Sciences, Maharaja Agrasen College, University of Delhi

• Problem Solving using Computers(Python)
• Database Management Systems
• Operating System
• Calculus and Matrices
• Data Structures
• Computer Networks

12th Grade, Vivekanand International Sr. Sec. School, IP.Extension, Delhi

• Secured 8.9/10 CGPA

10th Grade, Vivekanand International Sr. Sec. School, IP.Extension, Delhi

• Secured 9.1/10 CGPA

Knowledge Graph Construction of Indian Legal Documents, NLP

Enhancing the construction of high-quality triplets for knowledge graph creation (KGC) in Legal domain.

Supervisors: Dr. Vasudha Bhatnagar (Senior Professor, DUCS) and Dr. Vikas (Assistant Professor, DUCS).

Deepfake Detection and Temporal Localization, Computer Vision

Established server infrastructure from scratch and conducted a comprehensive literature review and analysis of existing SOTA architectures, including UMMAFormer, BA-TFD, BA-TFD+.

Successfully reproduced results of 3 research papers detecting deepfakes, using NVIDIA A100 80GB GPU.

Contributed to the UMMAFormer’s GitHub repository, by updating required missing packages & correcting the file structure flow chart provided by the author in the README file.

Supervisors: Dr. Vasudha Bhatnagar (Senior Professor, DUCS) and Dr. Bharti (Assistant Professor, DUCS).

FoG Detection in Parkinson's Disease, AI in Healthcare

Detected which specific events trigger freezing of gait (FOG) to occur in patients having Parkinson's disease.

During a FOG episode, a patient’s feet are “glued” to the ground, preventing them from moving forward despite their attempts. FOG has a profound negative impact on health-related quality of life — people who suffer from FOG are often depressed, have an increased risk of falling, are likelier to be confined to wheelchair use, and have restricted independence.

Tested several machine learning models trained on data collected from wearable 3D lower back sensors.

Sign Language Detection System, Computer Vision

Developed a sign language detection system using transfer learning with TensorFlow’s SSD mobilenet v2 pre-trained on the Microsoft COCO dataset for object detection.

Created a custom dataset with ten annotated images per class to fine-tune the model, integrating OpenCV for image capture.

The model exhibited real-time classification accuracy on a live video feed, validated through successful peer evaluations, highlighting its adaptability to diverse scenarios.

Completed under the guidance of Dr. Punam Bedi (Senior Professor, DUCS).

Sentiment Analysis using Knowledge Graph, NLP

Made a WebApp using Flask which can scrape the Tweets on various parameters (such as keyword, since, till, count, etc.), cleans them using RegEx.

Analyses and Classifies their Sentiments using TextBlob library, visualizes the results using matplotlib.

Stores this classified data into neo4j database to obtain Knowledge Graph for further Querying and Analysis

House Price Prediction

Started with this project as my stepping stone into the world of Data Science. Motivated by the 5-day long Deeplearning workshop attended recently back then.

IKDD Data Science Meetup, Virtual

Workshop on Research Opportunities in Computer Science, ACM India, IIIT-D

GDSC WoW - Delh NCR

Data Science Meetup, GDG (Google Developers Group) - Noida

Deep Learning Workshop, Pinkai IT Consultant PVT. Ltd.

Datathon Winners Grant, awarded for attending IndoML 2024 @ BITS Pilani Goa Campus