AI/ML | Fullstack Web Dev | Data Science
- Designed modular dashboards using React, Node.js, and PostgreSQL with real-time monitoring and behavioural analytics pipelines.
- Built adaptive mock exams leveraging Bayesian difficulty modeling, dynamic question banks, and personalized performance tracking.
- Integrated AI-based proctoring via TensorFlow, and WebRTC for real-time identity verification and integrity scoring.
- Deployed blockchain-backed certification on Ethereum (ERC-721) with Solidity smart contracts and IPFS-based credential storage.
Repository: Exam-Proctor-With-Foolproof-Certificates-Using-Blockchain
- Built an interactive Streamlit dashboard integrating TensorFlow and scikit-learn models for OTDR fault classification, regression-based localization, and reflectance/loss estimation.
- Optimized a Google Colab–driven pipeline with normalization, feature scaling, and noise reduction to ensure robustness across heterogeneous OTDR datasets.
- Implemented multi-source ingestion (CSV, manual, synthetic generation) and Plotly-based 2D/3D visualizations for advanced trace exploration.
- Deployed LightGBM, Random Forest, and regression baselines with automated model/scaler loading, error handling, and export-ready analytical reports.
Repository: Optic-Fibre-Fault-Prediction-And-Localization
- Performed advanced exploratory data analysis on the Kaggle credit card fraud dataset with feature engineering, correlation mapping, and outlier treatment.
- Implemented data balancing using SMOTE and undersampling to mitigate severe class imbalance and stabilize training.
- Optimized and benchmarked ensemble classifiers — Random Forest, AdaBoost, XGBoost, and LightGBM — with hyperparameter tuning for maximum precision-recall tradeoff.
- Deployed a production-ready Streamlit web app integrating visualization, model comparison dashboards, and real-time fraud prediction.
Repository: Credit-Card-Fraud-Analysis-And-Model-Comparison
- R.V College of Engineering — B.E in Computer Science and Engineering — CGPA: 9.68 (2023–2027)
- Sri Vidya Mandir Independent P.U College — 12th Board Exams: 98.3% (2023)