I am a passionate data scientist, data engineer and AI teacher who loves working with data and creating valuable insights to aid people and organisations.
You can see my working experience timeline in the figure above.
You can use my course materials on my Github to learn various topics within data science and data engineering.
| repository | description |
|---|---|
| Data engineering | teaching bash, docker, airflow, data pipelines |
| Deep learning | teaching deep learning algorithms, including computer vision and NLP |
| Machine learning | teaching shallow machine learning algorithms, mainly supervised learning |
| Data analysis | teaching data processing and visualisation focusing on Pandas |
| Python programming | teaching Python, fundamentals, OOP, git, github |
| Linear algebra | teaching linear algebra |
These are some projects I've deployed to the public.
| project | description |
|---|---|
| YH dashboard 📊 | dashboard showing KPIs for higher vocational education. The aim is for educational providers to be more data-driven |
Here are some courses and education programs I've studied that are most relevant to my current field of work.
| 📘 | 🏫 | 📆 |
|---|---|---|
| AI organisations, value, implementation | AI Sweden | 2024 |
| Biomedical engineering (MSc) | Chalmers university | 2015-2017 |
| Engineering mathematics (BSc) | Chalmers university | 2012-2015 |
| Teachers education program | Gothenburg university | 2019-2020 |
This is a selection of video materials that I have produced/participated in (not a full list). I have recorded all my lectures with theory and code-alongs, but don't show them here.
| Video | Description |
|---|---|
| GAIA | speaking about building a 2-year data science education |
| Arbetsförmedlingen | interview of AI program & future work market |
| Faktorer och nollställen | video lecture on calculus (Swedish) |
: LinkedIn