Toolkit
Welcome to my toolkit! I love learning new things and on this site I update what I'm currently studying and what I already have on my toolkit.
Currently studying:
- Python
- SQL
- Javascript (Node.js)
- Swedish
- Japanese
Code
- R (tidyverse + base R)
- SQL (sqlite3)
- JSON, XML, ER-diagrams
- Python (Flask, pandas & numpy under study)
- Javascript
- HTML
- CSS
- SPSS
- Excel
Data analysis: Statistics and Machine learning
- Regressions analyses
- Multilevel modelling
- Hypothesis testing
- Dimension reduction (PCA, EFA, CFA)
- Item response theory
- Structural equation models (CB-SEM, PLS-SEM)
- Clustering (k-means, hierarchical clustering)
- Market basket analysis
- Decision trees (inc bagging & boosting)
- Random forests
Presentations: for stakeholders, technical teams, customer calls, for sales, variety of teams, conferences, events & general public
Writing: Academic, technical (documentation), and general public
Teaching: To coworkers, to students in larger groups (30+, in tutorial lectures), to students in small groups (small group teaching for MSc students), to students one-in-one (academic writing tutoring)
Personal characteristics: Highly motivated and easily excited about new challenges and opportunities, creative problem solving without losing sight of the aims and targets, eye for detail, project management both in terms of mid-project communication and project planning, turning ambiguous needs into clear solutions and high level of engagement with clients
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