Tech Stack and Skills

For those inspired to create their own similar project, you can find all the hard skills I called on and developed along the way below. My professional experience has always been as an ML Engineer / Data Scientist so I’ve loved getting a more full stack web dev and data experience.

Infrastructure and Deployment

• Docker/Docker Compose/Docker Swarm/ Networking
• Ubuntu/Aline
• CI/CD (Github actions and Netlify CLI)
• Netlify Hosting

Data Collection

• Web Scraping (Python - Scrapy)
• Json Parsing/Data Cleaning
• MongoDB (noSQL)
• Mongo Express

Machine Learning and Analytics

• JupyterHub
• MLFlow (model tracking)
• Scikit Learn + Statsmodels (modelling)
• MatplotLib + Seaborn + Pandas-Profiling (visualisation)
• Pandas (data manipulation)

Web Development

• Hugo
• Tailwind CSS
• Alpine JS

Development

• VSCode
• Anaconda (Miniconda within the docker containers)
• Github (Git Hosting)
• Chocolatey + Yarn (Package Installation)