hiring-trends

A real-world data analysis project exploring AI & ML job trends in the U.S. using Pandas, Matplotlib, and Seaborn — based on LinkedIn job listings from 2022 to 2024

Klar reads the developer job market in real time and shows what skills companies are actually hiring for - pulled from live postings across multiple sources. Descriptive, not predictive. No hype, just the data. Built on the MERN stack.

indeed jobs structured extraction

🔍 Real-time Job Market Intelligence Dashboard — hiring trends, salaries, skills & live listings. Built with Vanilla JS + Vercel Serverless + Adzuna API.

FAANG vs GCC ITServices in India Freshers Hired

"Interactive Power BI dashboard visualizing 2024 data job trends, salaries, and global hiring patterns."

Jobteaser job listings extractor

Analysis of 22,000+ Naukri job postings using SQL and Power BI

LinkedIn jobs multi-location extraction

Greenhouse job listings extractor

Data Analyst Job Market Dashboard built using Excel, Python, Tableau, and Streamlit to analyze hiring trends, salary distribution, experience levels, and in-demand skills.

This project features an HR analytics dashboard using a synthetic dataset generated with Faker and pandas. The dashboard offers insights into employee demographics, income and hiring trends, and gender distribution. Python was used for data generation and initial processing, with Tableau creating the interactive visualizations.

Exploratory data analysis of tech company layoffs and hiring trends (2024–2026) across industries, countries, and market conditions using Excel.

Machine Learning-based web application to predict tech hiring trends using company, layoff, AI adoption, and market data.

什么能力在升值？企业在为什么 AI 能力付钱？每周自动追踪招聘与采购两个市场的开源情报雷达 | Track what companies hire for and pay for

🔍 Extract structured job listings from any public Greenhouse job board for easy monitoring and reporting. Transform scattered data into reusable insights.