Python projects focused on data mining, web scraping, API automation, file organization, correlation analysis, and data exploration.
Selected Python projects from my analytics portfolio. Most technical notebooks are available on GitHub.
Python is useful for data automation, API extraction, web scraping, data cleaning, exploratory analysis, and repeatable reporting workflows.
Automate repetitive data collection, file handling, and reporting tasks using Python scripts.
Pull data from APIs or websites and prepare datasets for analysis and dashboard reporting.
Use Python to inspect datasets, identify trends, calculate metrics, and uncover relationships.
I can help build Python automation scripts, SQL reports, Power BI dashboards, and AI automation workflows for business reporting.