CS engineering student from India — obsessed with writing clean code and solving problems. Currently sharpening my DSA skills while building real-world full-sta
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Amazon_Sentiment_Analysis
June 13, 2026 – Present
Amazon_Sentiment_Analysis — GitHub repository
View Projectfake-news-detection-nlp
June 12, 2026 – Present
Fake News Detection using NLP and Machine Learning. Built with TF-IDF feature extraction, Logistic Regression, and Random Forest models to classify news articles as real or fake with over 99% accuracy.
View ProjectCodeOrbit
May 18, 2026 – Present
Connect your GitHub repositories and let AI review every new pull request automatically. Get instant code review comments, bug detection, quality checks, and improvement suggestions directly inside GitHub PRs.
View ProjectGigShield
March 17, 2026 – Present
AI-powered parametric insurance platform protecting gig workers from income loss due to real-world disruptions
View ProjectPortfolio-website
January 4, 2026 – Present
A simple personal portfolio website showcasing projects, skills, and contact information. Built with plain HTML, CSS, and JavaScript.
View ProjectPersonal-Expense-Income-Management-Web-Application
December 29, 2025 – Present
A comprehensive web application for tracking personal income, managing expenses, and monitoring daily finances.
View ProjectCalmiVerse
September 12, 2025 – September 12, 2025
AI-powered digital platform providing confidential, real-time mental health support
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards AI/ML and web development. While 'fake-news-detection-nlp' and 'ML_lab' align with a Data Scientist role, other projects like 'Personal-Expense-Income-Management-Web-Application' and 'Portfolio-website' are more general web development. The diversity of projects indicates a broad interest, but the depth in core data science areas beyond basic ML models is not clearly demonstrated. The target role is Data Scientist, but the project portfolio is quite diverse, suggesting a potential fit for roles requiring both ML and development skills, but less focused on advanced data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.