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Data Science Project (Basic): Job-Market-Analyzer Data Science Project (Basic): Analyze job market trends using Python, Matplotlib, Seaborn, Plotly, NumPy, Pandas.

Job Market Skills Gap Analyzer is a data science project that analyzes job descriptions to identify in-demand skills and gaps between market requirements and candidate profiles. It uses Python, NLP, and data visualization to provide skill match insights and guide targeted upskilling.

A real-time job market analyzer that scrapes Data Science job listings from LinkedIn and Indeed. Extracts job title, company, location, salary, and posting date. Cleans and exports data to CSV for trend analysis and visualization. Built with Python, BeautifulSoup, and pandas.

Full-stack job market analyzer for Data Analyst and Data Science roles. Built with Python, PySpark, React, and Tailwind CSS. Pulls real job data from JSearch API, analyzes in-demand skills, salaries, and hiring trends, and visualizes everything in an interactive dashboard.