
Computer Science graduate with hands-on experience in machine learning, data analysis, and UI/UX design. Strong background in building end-to-end ML pipelines, research-driven problem solving, and data-backed decision making, highlighted by a high-accuracy brain tumor detection project. Comfortable working across technical and cross-functional roles, with exposure to real-world product design, analytics, and team coordination. Actively seeking entry-level roles in data, ML, or software-driven problem-solving environments.
Brain Tumor Detection
- Analyzed and synthesized insights from over 30 research papers to design an advanced brain tumor detection system
using MRI images.
- Developed and optimized a comprehensive pipeline incorporating noise reduction, robust feature extraction, and multi-
method classification techniques.
- Tested and refined various algorithm combinations to enhance system performance and accuracy.
- Achieved a 99.6% accuracy rate in brain tumor detection, significantly improving diagnostic reliability and efficiency
Plagiarism Detector — SIH Finalist
- Managed comprehensive dataset preparation, accurate file labeling, and seamless output integration across multiple team
modules
- Coordinated team logistics and fostered collaboration through cross-team discussions to gather actionable insights
- Ensured smooth execution and timely consolidation of project deliverables, achieving 100% on-time submission under
strict hackathon constraint