About
Computer Science (AI & ML) undergraduate skilled in Python, SQL, data analytics, and machine learning. Experienced in building dashboards, analyzing datasets, and developing AI-powered applications through academic and personal projects.
Education
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2026
B.E. in Computer Science Engineering (AI & ML)Computer Science & Engineering (AI & ML) · Nov 2022 – Jun 2026
Skills
Tools / apps / platforms
Projects
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Smart Interview Assistant (MockAI)React, TypeScript, Firebase, Ollama
Developed an AI-powered mock interview platform with automated question generation. Implemented real-time feedback, anti-cheating detection, and hybrid AI integration. Used Firebase for authentication and interview data storage.
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NeuroScan AI – Brain Tumor DetectionPython, TensorFlow, FastAPI, React
Developed a full-stack AI application for brain MRI classification using ResNet50 transfer learning. Implemented Grad-CAM visual explanations and achieved 99.4% classification accuracy across the four tumour categories. Built FastAPI APIs, React dashboard, scan history tracking, and real-time prediction workflows.
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Customer Churn Prediction & Analytics DashboardPython, SQL, Streamlit, ML
Built a churn analytics dashboard using Python, SQL, Streamlit, and Random Forest. Performed customer segmentation, churn prediction, and KPI visualisation to identify retention risks and customer behaviour patterns. Developed an interactive module for real-time churn risk estimation.
Courses & certifications
- MumbaiHacks 2025 · National-Level Agentic AI Hackathon · 2025
- Google Analytics Certification · Google
- Machine Learning Certification · Coursera