Prince Gupta
Data Analyst | Python, SQL & Machine Learning.
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This project showcases a comprehensive Tableau dashboard that analyzes sales data, providing valuable insights into revenue, profit margins, customer behavior, and market performance. The analysis is based on multiple datasets, and the visualizations enable data-driven decision-making for business growth.
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An AI-powered resume intelligence platform that combines NLP, machine learning, semantic embeddings, and generative AI to analyze, score, and optimize resumes — going beyond keyword matching to actually understand what a resume says.
Rezumy parses an uploaded resume (PDF or DOCX), cleans and segments the text with spaCy/NLTK, then generates 768-dimensional semantic embeddings via SentenceTransformers/BERT. Multiple scoring modules (ATS, skills, experience, projects, education) evaluate the resume, cosine similarity matches it against a target job role, and Gemini 2.5 generates personalized, actionable rewrite suggestions — down to specific course recommendations for each skill gap.
A separate module, JobSpy, scrapes live openings from multiple job platforms on demand (cached per search for 3 minutes to avoid rate-limiting the sources), so users can search current listings alongside their resume analysis — all in one place.
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This project aims to build a Loan Prediction Model using Machine Learning to help banks determine whether a loan applicant should be approved or not. The model is trained on historical loan application data and predicts the loan status (Approved or Rejected).
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A full-stack Machine Learning application for predicting insurance premium categories using a trained ML model, served via FastAPI and consumed by a Streamlit frontend. Both backend and frontend are fully Dockerized and ready for cloud deployment (Render).
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