undergrad
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-Analysis
June 17, 2026 – Present
This repository contains all the data analytics projects that I've worked on in python.
View ProjectData-Analytics-Project
June 17, 2026 – Present
This Repository contains my Data Analytics projects ranging from SQL,Python,Tableau,Excel etc
View ProjectAdaptIQ
May 20, 2026 – Present
AI-powered adaptive quiz engine — ingest educational PDFs, generate MCQ/True-False/Fill-in-the-blank questions with Groq LLM, and serve adaptive sessions via FastAPI
View ProjectCodeLens
May 11, 2026 – Present
Ask questions about any codebase in plain English. Built with LangGraph, ChromaDB, and Groq.
View ProjectFeedForge
May 9, 2026 – Present
Hybrid article recommendation engine — TF-IDF candidate generation + XGBoost LTR reranking, served via FastAPI
View ProjectFraudShield
May 2, 2026 – Present
Real-time credit card fraud detection using XGBoost + FastAPI. Achieves 79.6% F1-score on 284K transactions. Features a browser UI for instant fraud probability scoring, REST API, and full ML pipeline with EDA, preprocessing, and model comparison.
View ProjectSummeRise
May 2, 2026 – Present
AI-powered article summarizer — scrape any URL and get an instant summary using Groq (Llama 3.3)
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and passion for data science and AI/ML. The breadth of technologies used across projects (Python, various ML libraries, web frameworks, databases) suggests adaptability and a willingness to explore different tools. The focus on practical applications like fraud detection, recommendation systems, and AI-powered tools aligns well with a results-oriented culture. However, the lack of team projects or formal work experience makes it difficult to assess collaboration and interpersonal skills for cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and hands-on approach to learning and problem-solving. The diversity of projects, particularly those involving AI/ML and data analytics, indicates a strong interest and potential fit for roles requiring innovation and technical execution. However, without formal experience or detailed project contributions, assessing collaboration, stress handling, and communication in a team setting is not possible.