Check out my tech stack:
Interactive tech stack
Check out my interactive tech stack.
Or, in more detail:
Statistical methods (selection)
| What |
what for |
Years of experience |
| Linear, logit and multi-level models |
Estimate effects on linear, continous outcomes |
> 8 |
| Maximum simulated likelihood |
Account for unobserved customer heterogeneity |
> 6 |
| Unsupervised-learning / classification |
To identify structure in unlabeled data |
> 6 |
| Deep Laarning |
Predict oucomes or classification based on prior training of data |
> 4 |
| Baysian statistics |
An alternative to frequentist, p-value-based statistics |
> 2 |
Data Engineering (selection)
| What |
what for |
Years of experience |
| GitHub |
Version control, CI/CD |
> 3 |
| AWS |
Data Engineering, CI/CD |
> 2 |
| Apache server |
Web server administration |
> 4 |
Languages
| What |
what for |
Years of experience |
| Python |
Data Science & Engineering |
> 3 |
| R |
Data Science |
> 6 |
| SQL |
Database queries |
> 10 |
| HTML & CSS |
Web development, Dashboarding |
> 10 |
| PHP |
Web development |
> 10 |
| Javascript |
Web development |
> 7 (on/off) |
Software (selection)
| What |
what for |
Years of experience |
| Jupyter Labs |
Data Science |
> 3 |
| RStudio |
Data Science |
> 6 |
| Miro |
Conceptual Work |
> 6 |
| Jira & Confluence |
Agile Working & Documentation |
> 6 |
| MS Office Suite |
Excel: Data wrangling, Word/PPT: Reporting |
> 15 |
| Taleau |
Data visualization |
> 3 |
Packages (selection)
| What |
in |
what for |
Years of experience |
| pandas |
Python |
R-style data frames in python |
> 3 |
| numpy |
Python |
Statistcis in Python |
> 3 |
| matplotlib |
Python |
Data visualization |
> 3 |
| Keras & Tensorflow |
R, Python |
Tensorflow for machine learning and deep learning in R |
> 2 |
| data.table |
R |
SQL-style data queries in R |
> 3 |
| tidyverse |
R |
Set of helper-function within R |
> 4 |
| Rcpp |
R |
Use C++-Code in R, helpful for expensive for-loops |
> 2 |
| Caret |
R |
Machine learning in R |
> 1 |
