Welcome to my personal portfolio of data analytics and visualization projects. This collection demonstrates my ability to extract insights, explore trends, and tell stories with data across various domains including public health, finance, housing, and IoT.
I'm a data enthusiast with a passion for turning raw data into meaningful insights. This portfolio highlights my hands-on experience with tools like Python, Pandas, Matplotlib, Seaborn, Plotly, and Jupyter Notebooks. Each project here is an opportunity to explore real-world problems through data.
- ✅ Clean, reproducible Jupyter Notebooks
- 📈 Data visualizations that uncover trends and patterns
- 🧼 Data cleaning and preprocessing workflows
- 🔍 Exploratory data analysis and basic machine learning (in some projects)
- 📊 Interactive charts (Plotly/Altair where relevant)
Analyze global COVID-19 trends with visualizations on confirmed cases, deaths, and vaccination rates.
Tools: Pandas, Plotly, Matplotlib, Jupyter
Visualize historical stock price trends and trading volume for major companies using public APIs or CSV data.
Tools: yfinance, Pandas, Matplotlib
Study the historical housing market by region, with visualizations showing price appreciation, affordability, and regional comparisons.
Tools: Pandas, Seaborn, GeoPandas (optional)
Analyze time-series data collected from IoT devices, such as temperature or motion sensors.
Tools: Pandas, Resampling, Plotly
Add your personal or freelance work here! Examples:
- NLP tweet sentiment analysis
- Weather trend predictions
- Power BI dashboards (linked as screenshots or PDF)
- Python (3.8+)
- Jupyter Notebooks
- Pandas, NumPy
- Matplotlib, Seaborn, Plotly
- Scikit-learn (optional ML models)
- Git & GitHub
- Clone this repo:
git clone https://github.com/yourusername/your-repo-name.git