Illustrative project studies, with the assumptions and checks made visible.
A small sensor logger
A timed-reading prototype that keeps missing samples visible instead of treating them as zero. The example marks a gap at 00:20; the notebook explains input assumptions, parsing and incomplete-data checks.
A reproducible data import
A command-line import study separates validation from persistence. In the illustrative dry run, four rows are read, one needs review and no records are written before the issue is resolved.
A handover someone can follow
A documentation exercise for the logger prototype, covering setup, sample data, known limits and the first checks to run when a reading is missing.
Read the decisions behind the result
The notebook makes the approach visible, including the parts that needed another test.
Context and constraints
A project starts with the intended task, operating conditions and the limits the solution had to respect.
Methods and tools
I explain which methods I used, why they suited the question and how the work was checked.
Contribution and handover
The project notes distinguish my contribution from the team’s and record what another person would need to continue the work.
A result is stronger when it can be followed.
Clear technical notes connect the original requirement with the methods, decisions and final handover. I value documentation that is useful to the next person as well as the person reviewing the result.
From the technical notebook
Recorded sample-data study: find a missing reading, correct the sample and run validation again. This demonstration writes no records. No audio.
Working together
Feedback from clients, collaborators and mentors.
What stood out: project context, working methods and documented decisions.
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Contact about technical work
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