This repository showcases a collection of my Python projects focused on data preparation, analysis, and automation across a range of domains. Each project demonstrates different Python libraries, techniques, and best practices to solve real-world data challenges in a scalable and reproducible way.
Python is a widely-used programming language in data analytics and automation. Its flexibility and readability make it ideal for handling tasks such as data manipulation, reporting, visualization, and process automation. Whether working with structured or unstructured data, Python provides powerful capabilities to build end-to-end solutions.
This portfolio is designed for anyone interested in understanding how Python can be applied to real-world data workflows — from data ingestion and transformation to analysis, modeling, and automation.
- Project 1: Visualizing the History of Nobel Prize Winners - An interactive dashboard showcasing trends in Nobel Prize awards across gender, nationality, and categories from 1901 to 2023.
- Project 2: Debugging a Sales Data Workflow - A project focused on troubleshooting and correcting a sales data pipeline to ensure accurate loading and validation of transaction records.
Each project folder contains a README.md file that describes the purpose of the dashboard, the data sources used, and any other relevant information. You can also find screenshots of the dashboard.