I work with data using Python, SQL, and machine learning to uncover insights and build useful projects. Here on GitHub, I share my analyses, experiments, and ideas with anyone interested in data and technology
- Programming Languages: Python, R, SQL
- Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Data Management: MS Excel, SQL Databases, MongoDB
- Tools & Platforms: Jupyter, Git, GitHub, Kaggle
Explore some of my repositories to see my work in action:
- LA Crime Prediction Project - This project looks at crime data from Los Angeles. It cleans and organizes the data, then explores patterns in different types of crimes and locations. Visualizations help show trends and insights clearly. The project also tries to predict future crime patterns. It’s a practical example of using data to understand city crime.
- Reddit Rules Classification - This project uses machine learning to determine whether Reddit comments follow subreddit rules. It processes the text of comments to predict if they comply with community guidelines. The goal is to help automate moderation by identifying rule-breaking content. This approach can assist in maintaining healthy online communities.
- Beats Per Minute Prediction - This project predicts a song's Beats Per Minute (BPM) using its various audio features. It cleans the data, applies transformations to normalize skewed feature distributions, and trains several regression models. The goal is to build an accurate model that can determine the tempo of a song from its characteristics, providing a practical example of a regression task.
- Coffee Sales Dashboard - Explore coffee sales trends with interactive charts and analytics. This dashboard makes it easy to dive into your data, find top products, and spot opportunities—all in one place. With user-friendly visualizations, you can track performance, identify growth areas, and make data-driven decisions for your coffee business.
Feel free to reach out for collaborations, discussions, or just a friendly chat about technology!