Job Trend Analyzer
Real-time job market analyzer that scrapes listings from major platforms and visualizes demand across roles, locations, and skills.
Glassdoor Scraper
Built using Selenium, BeautifulSoup, and Pandas to extract job listings from Glassdoor and analyze them for data trends.
Amazon Product Scraper
Automated data extraction from Amazon product pages using Selenium, BS4, and Pandas for structured analysis.
Car Dealership Website
Built a responsive car comparison platform using HTML, CSS, Bootstrap, Python, and Django with full backend support.
Facebook Lead Scraper
Scraped leads from Facebook using BeautifulSoup and Selenium, formatted into structured Excel files for business use.
LinkedIn Job Scraper
Scraped Jobs from LinkedIn for recruitment and networking purposes with data export capabilities.
Machine Learning Projects
Implemented various ML algorithms including supervised and unsupervised learning for predictive modeling and data pattern recognition.
Data Analysis Projects
Performed comprehensive exploratory data analysis using NumPy, Pandas, Matplotlib and Seaborn to derive actionable insights from complex datasets.