Gothenburg based student
This project was created as a learning exercise to practice web development and data analysis.
It features a basic stock analysis platform displaying stock prices, company info, earnings reports, and sector charts.
Tools used for this project: Javascript, HTML, CSS, Python, Flask, PostegreSQL & Matplotlib.
Images and code + set up you can find on my on my Github
A cloud-native, serverless logging service designed to centralize and streamline application logs. Built with a Python/FastAPI backend, a React frontend, and deep integration with AWS services like DynamoDB, S3, and Cognito. LogThread
Salary Analysis: Data Exploration
This analysis explores a dataset of approximately 6,700 entries. It is divided into three parts,
each highlighting different aspects of the data to provide insights and valuable information.
Tools used for this project: Python with Seaborn, Matplotlib, Pandas & Numpy.
Images and code + set up you can find on my on my Github. But if you only want the results. Click here!
Salary Analysis
Gmail: windelljonathan04@gmail.com
Linkedin, Facebook & Github: Jonathan Windell