I'm a 25-year-old Data Analyst from Pakistan with a passion for uncovering insights from data. I've been diving deep into data analytics for over two and a half years, working on projects that span from exploratory data analysis to machine learning.
My main language is Python, where I’m comfortable with libraries like Pandas, Seaborn, and Matplotlib for data cleaning and exploratory data analysis (EDA). I also have hands-on experience with MySQL, Power BI, and Excel for data management and visualization. In addition, I know how to use Docker and GitHub Actions to set up automated workflows, and I can build simple web apps in Streamlit to display my models.
- Programming: Python (Pandas, Seaborn, Matplotlib)
- Data Analytics Tools: MySQL, Power BI, Excel
- Machine Learning Concepts: All the essential concepts needed for effective modeling
- Deployment & Automation: Docker, GitHub Actions
- Web App Frameworks: Streamlit for creating data science web apps
Here are some of the projects that highlight my skills in data analytics and machine learning:
- Heart Disease Prediction - A model to predict heart disease likelihood using a dataset from Kaggle.
- House Price Prediction - A model that forecasts house prices based on various features.
- Consumer Complaints Analysis - An in-depth EDA of consumer complaint data to find trends and insights.
- New York Rolling Sales Analysis - A data-driven look at NYC real estate sales.
- Car Sales Analysis (Power BI) - A dashboard built in Power BI to analyze car sales data.
- Sales Data Analysis (SQL) - An SQL-based project to derive insights from sales data.
I'm always looking to learn more! Right now, I’m focused on:
- Expanding my data science and machine learning skills.
- Learning more about web app development for data science.
- LinkedIn: [Myy Linkdin Profile]
- Instagram: [My Instagram]
Thanks for stopping by! Feel free to check out my projects, and reach out if you'd like to connect or collaborate! You are welcome😊