This pure-Python project analyzes over 2,500 user movie ratings to uncover genre trends, user behavior, and rating distributions.
It also includes a custom-built recommender system — developed without external libraries.
This project uses Python libraries Pandas, Requests, JSON, Seaborn, & Matplotlib to automate cryptocurrency data retrieval from CoinMarketCap.com, using its API.
This Python project uses BeautifulSoup and Requests to scrape a retail website, analyze product prices, and export the data to CSV.
This Python-based project uses Seaborn and Matplotlib to identify correlations between movie industry variables
and explore how different factors impact gross revenue.
This holds all of my Microsoft Power BI Dashboards.
This holds all of my Tableau Data Visuals.