Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
21 skillsWork Experience
Data Analyst & Data Science Intern
Vellore Institute of Technology (VIT)
- Spearheaded the end-to-end development of a predictive analytics solution for early breast cancer detection, leveraging supervised machine learning algorithms.
- Conducted comprehensive data preprocessing, feature engineering, and exploratory data analysis (EDA) to extract statistically significant predictors from medical datasets.
- Designed, trained, and evaluated multiple classification models including Logistic Regression, Random Forest, and SVM, optimizing hyperparameters to improve model performance.
- Developed insightful visualizations using Pandas, Seaborn, and Matplotlib to enhance model interpretability and stakeholder communication.
- Collaborated closely with the academic mentor Dr. Praveen Lalwani to validate findings and refine analytical methodologies for improved precision.
Projects
AI-Powered Fitness Coach App
- Engineered an AI-driven fitness assistant using Next.js, Node.js, Tailwind CSS, shadcn/ui, Framer Motion, generating personalized workout and diet plans with LLMs, increasing accuracy by 40%.
- Integrated OpenAI and Gemini APIs to automate plan recommendations and realistic exercise/meal visuals, improving engagement by 35%.
- Embedded ElevenLabs TTS, PDF exporting, and localStorage persistence with theme toggling, enhancing accessibility for 200+ users.
- Delivered a fast, animated interface achieving a 95% Lighthouse score across 15+ responsive screens, ensuring smooth performance.
Quickbasket – Grocery Delivery App
- Designed a grocery e-commerce system using the MERN stack, including secure authentication, admin panel, and catalog for 50+ items.
- Refined checkout and cart logic, reducing transactional errors by 25% and enhancing operational throughput.
- Structured a MongoDB-powered backend to handle inventory and orders efficiently, supporting 200+ transactions with reliable data synchronization.
Brain Tumor Detection (CNN)
- Implemented Convolutional Neural Network using PyTorch & TensorFlow for MRI-based brain tumor classification, achieving high accuracy on 3,000+ images.
- Applied data augmentation and regularization techniques to minimize overfitting by 20%.
- Built a browser-compatible inference tool with Flask, reducing prediction latency to under 2 seconds per scan.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
AWS Certified Solutions Architect Associate
AWS Certified Solutions Architect Associate
About Details
Professional Bio
Aspiring software developer with a focus on AI and full-stack development. Experienced in building predictive analytics solutions and scalable web applications using modern technologies.
B.Tech in Computer Science and Engineering (Cyber Security and Digital forensic)
Vellore Institute Of Technology Bhopal, India (2022 - 2026)