job-analysis

This repository aims to extract an insight from your job statistics. For that purpose it uses Jupyter notebook to process data gathered in an Excel data sheet.

Lightweight PSA-based NLP tool for analyzing job descriptions and detecting alignment gaps in Responsible AI hiring.

Local crawler and analysis toolkit for AI/Agent technical jobs on BOSS Zhipin.

AI-powered resume analyzer that evaluates resumes against job descriptions to generate job-fit scores, skill gap insights, and personalized recommendations with interactive visualizations

The project contains UK data science job analysis provided through scraped data from indeed.co.uk. (Scraping Date: 21.07.2020)

Resume Forge 简历熔炉 - AI驱动的简历生成、分析与评审系统

Turn a JD + resume into an evidence-backed application decision. A Codex skill for deep role research, dual-layer fit scoring, hiring-bar analysis, team outlook, and interview strategy—without fake probabilities.

🔍 Analyze data science job posts from Glassdoor! Cleaned using Excel, explore common job titles, salary trends, and required skills. Uncover insights to ace your job search! 📊💼 #DataScience #JobMarket #GlassdoorAnalysis

This project involves web scraping and analyzing job postings for Data Analysts, Data Scientists, and Data Engineers. It examines the relationships between salaries, experience levels, and fields. The repository includes numerous plot illustrations and insightful analysis.

Evidence-based technical skill intelligence platform built with React, FastAPI, SQLAlchemy, JWT authentication, job analysis, and grounded career insights.

This project involves working with DATA JOBS MARKET.

Python toolkit for scraping Indeed job listings, preprocessing data, and generating visualizations for market analysis.

AI-powered job advertisement analyzer with structured extraction, compact summaries and Excel-based application tracking.

Web-based job description analysis tool built with HTML, CSS, JavaScript, and Vercel.

AI-Powered Data Analytics project that analyzes 62,000+ job postings to identify in-demand skills, salaries, companies, and market trends.

Evidence-based hiring system design using BARS, work-sample testing, and structured interviews.

Web application designed for the analysis of resumes and job offers using Gemini AI

Interactive treemap of 263K marketing job listings across 20 fields, exploring AI disruption, salary signals, and hiring trends for 2026.

Ghost Job Detector is a production-ready Next.js web app that helps job seekers analyze job posts using AI before applying.

SQL queries developed as part of a data analysis project. Includes analysis of job data, queries for insights into job categories, salaries, and customer behavior. Techniques used include JOINS, CTEs, subqueries, and aggregate functions. Inspired by DataNerd's YouTube tutorial: https://www.youtube.com/watch?v=7mz73uXD9DA