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.

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

🔍 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

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

💯🔔Current Job Openings! 🕐We're Hiring!😉 Process of Gathering and Analyzing Information about the Job Descriptions and the Human Requirements of Jobs in United States💛

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

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.