Uses
A transparent look at the tools and technologies that power my development workflow. This page documents what I use and why, helping other engineers discover useful tools and understand my technical context.
Tools
Software and applications I use daily
Visual Studio Code
Primary code editor for Python, web development, and data analysis work. Excellent Jupyter integration.
Jupyter Notebook
Interactive environment for data exploration, analysis, and machine learning prototyping.
Git & GitHub
Version control and project hosting for all my data analysis and web development projects.
Postman
API testing and data collection for projects like the golf city analysis.
Tech Stack
Technologies and frameworks I work with
Python
Primary language for data analysis, machine learning, and automation.
pandas
Essential library for data manipulation, cleaning, and aggregation.
NumPy
Fundamental package for numerical computing and array operations.
Scikit-learn
Go-to library for machine learning models, preprocessing, and evaluation.
Matplotlib & Seaborn
Visualization libraries for exploratory analysis and presenting insights.
TypeScript
Type-safe development for web applications and improved code quality.
SQLite
Lightweight database for data storage and local analytics projects.