End-to-end job market analysis using real LinkedIn job postings scraped via Python. Includes web scraping, skill extraction, EDA, Excel-based validation, and a Canva-designed dashboard showcasing hiring trends, in-demand skills, and location-wise insights.

Power BI analysis of LinkedIn job postings (Apr–May 2025) revealing top data roles, hiring companies, and weekly trends. Interactive dashboard built with DAX measures and clean data modeling. Ideal for job seekers, analysts, and recruiters

An end-to-end analysis of over 8,400 LinkedIn job postings to identify key trends in the global Data Analyst job market. Features data cleaning with Python/Pandas and an interactive dashboard built in Power BI to visualize insights.

This project repository involves analyzing job postings data scrapped from LinkedIn. The analysis was conducted in two phases: data cleaning and exploratory data analysis (EDA). The insights were visualized using Python and an interactive dashboard was created using Power BI.

India Job Market Analysis End-to-end data project analyzing LinkedIn job postings across India. Includes cleaned datasets, Python EDA, and a multi-page Power BI dashboard revealing insights on job roles, top skills, hiring trends, salaries, and experience levels. Clear structure with visuals and demo video.

An Excel-based analysis of LinkedIn Data Analyst job postings to uncover top hiring companies, locations, and daily posting trends. The project includes data cleaning, pivot tables, and an interactive dashboard with a month slicer for dynamic insights.

I conducted a comprehensive analysis on LinkedIn Jobs that are Posted. I look into job market trends, focusing on application patterns, peak posting times, popular job titles, company dynamics, geographical insights, sector-specific details, job freshness, and company behaviors.

Interactive Dash dashboard for LinkedIn job postings analysis

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Interactive dashboard for 1.3M+ LinkedIn job postings analysis based on ISO 42001 framework.

Comprehensive analysis of STEM-related job postings from LinkedIn (2023–2024), featuring an interactive Streamlit dashboard for exploring job clusters, top skills, hiring industries, and companies.

This project is a job scraping and analysis tool designed to extract job postings from LinkedIn, analyze the language requirements of these postings, and provide daily updates via email. The tool also includes a dashboard for visualizing trends and statistics about job postings, focusing on the language requirements.

An interactive visual analytics system for exploring large-scale job market data using LinkedIn job postings. The project combines reproducible Altair/Vega-Lite dashboards, spatial salary and skill analysis, and embedding-based job similarity exploration to uncover trends in skills, compensation, geography, and remote work