Data Science with Daniel
Build. Share. Learn.
Discover
Follow along on your favorite platform for interviews, insights, and updates.
Featured Projects
Building solutions that make everyday life easier
Chop
Efficient inventory management
The chop app is your kitchen assistant! Track all of your inventory, from fruits to snacks, always knowing what you have available in your kitchen. If you are ever at the shops and you are not sure what you have at home, chop has you covered.
Key Features
- Real-time inventory tracking
- Cloud inventory syncronisation to never lose data
- Swipe actions to easily add or delete items
Smaug
Wealth management
Leveraging the Databricks Free Edition, I ingest all of my financial data to have a single pane of glass view into the components of my wealth and where I am spending my money. Spending was never this easy.
Key Features
- Automated LDP pipelines to ingest and transform financial data
- AIBI Dashboard to quickly see wealth at a glance
- [COMING SOON] Deployed automatically using Databricks Asset Bundles + GitHub Actions
Albatross
Golf Tracker
Leveraging the Databricks Free Edition, I ingest all of my golf scores where I capture data about every shot I take. This allows me to analyse my game, identify areas for improvement, and even calculate my handicap.
Key Features
- Automated LDP pipelines to ingest data
- dbt to model data in a normalised manner
- Tables to analyse each aspect of my game
Daniel Chegwidden
Solutions Architect @ Databricks
My journey into the world of data and AI began with a Masters in Data Science from the University of Western Australia. I then went on to work in various Data Engineering roles, learning Databricks, Snowflake, AWS, Terraform, and dbt to round out my skills.
I am now a Solutions Architect at Databricks, working on bringing the Data Intelligence Platform to our customers to help them solve challenging data and AI problems. This has allowed me to be 50% Data Scientist, 50% Data Engineer, and 100% problem solver to put my technical skills to the test.
I am passionate about technology education and that is where Data Science with Daniel was born from. What started as a community to showcase technology career paths is now focused on creating content to demystify the world of data and AI, one interview, one discussion, one blog post at a time. With a few projects thrown in here and there too.
So come build something cool, learn with me, and share what you know so that we can all have fun and solve challenging problems together.