I am an undergraduate student at the University of Management and Technology, pursuing a degree in Data Science. I am passionate about data analysis, machine learning, and data engineering.
- Adult Dataset: Analyzing adult data for demographic patterns.
- IMDB Movies Dataset: Working with movie-related data, including ratings, genres, and reviews.
- Pandas Introduction File: Exploring and learning about Pandas for data manipulation.
- Play Store Dataset: Analyzing app data, including ratings, installs, and categories.
- Salaries Dataset: Exploring salary-related data, visualizing the relationship between experience and salary.
- Train Dataset: Analysis of train-related data for operations and performance.
- Udemy Dataset: Analyzing courses on Udemy, including ratings and categories.
- YouTube Dataset: Working with data from YouTube to analyze trends in videos, views, and channels.
I perform data analysis using the following tools and libraries:
- Pandas for data manipulation and analysis
- Matplotlib and Seaborn for data visualization
- NumPy for numerical operations
- Scikit-learn for machine learning models
- Data Manipulation with Pandas
- Data Visualization with Matplotlib & Seaborn
- Machine Learning Algorithms (KNN, Decision Trees, etc.)
- SQL for Database Management
- Data Scraping using BeautifulSoup and Selenium
- Power BI for Business Intelligence
You can explore my work and more on my GitHub and see the datasets I've worked with!
