IGDTUW '26 - ECE (AI) | AI/ML Intern ’23 | GenAI & Prompt Engineering ’24 | Data Science Intern ’25 | GEC Coordinator (‘23-’26) | NPTEL 🥇 & 🥈 Medalist |
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IGDTUW
Data Scientist
June 19, 2026 – Present
Automated-Detection-of-Phishing-Websites-Through-URL-Based-Natural-Language-Processing
April 11, 2026 – Present
Phishing is a major cybersecurity threat, with malicious URLs used to steal sensitive data. Traditional blacklist methods are ineffective against evolving attacks. This study benchmarks ML, DL, and transformer models using URL features from CommonCrawl, PhishTank, and Kaggle, enabling fast and efficient phishing detection.
View ProjectAutoCost-AI
March 29, 2026 – Present
AI Enterprise Cost Intelligence & Autonomous Action Platform
View ProjectExplainable-Clinical-Relation-Extraction-from-Medical-Text-Using-Interpretable-NLP-Models
January 29, 2026 – Present
This project focuses on building an explainable clinical relation extraction system using multiple machine learning and deep learning models. It compares traditional classifiers, neural networks, transformers, and a hybrid approach to evaluate performance on medical text data.
View ProjectSkin-Cancer-Image-Classification-Techniques
January 26, 2026 – Present
This repository implements deep learning–based techniques for skin cancer image classification using dermoscopic images. It includes CNN models such as ResNet, EfficientNet, and a hybrid ResNet–EfficientNet architecture, with preprocessing, augmentation, and performance evaluation using standard metrics.
View ProjectIGDTUW-WEBSITE-CLONE
January 31, 2025 – February 4, 2025
IGDTUW Website Clone A frontend replica of the Indira Gandhi Delhi Technical University For Women (IGDTUW) website, built using HTML, CSS, and JavaScript. The project aims to recreate the homepage with a responsive design and a dynamic navigation bar.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration in data science and web development. The diversity of projects (medical text, image classification, phishing detection, web clones) indicates a broad interest, but the depth of collaboration or team-oriented work is not evident. The target role is Data Scientist, which aligns with the majority of their projects. However, the lack of professional experience beyond a current role starting in the future (2026) and no completed technical tests makes it difficult to fully assess cultural fit for a senior role requiring proven collaborative and problem-solving skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.