Description

Hello,

My name is Kasper and I am really good at setting up the foundations of a new app or website. I have a master in engineering and extra master in statistics, so I know all the math to make a solid data analysis. During other projects, and my own startups, I learned lots of web development technologies that allow me to setup a project completely on my own.

The tools I use most for these projects are:

- Python for data science

- Python Flask or FastApi to build a backend

- Vue.js to build a front-end

- Postgress to setup a database

- Tailwind.css to style everything

This list is far from exclusive, and I am a very quick learner so if you already started with some other technology, I can probably help you with that too.

After working on my thesis doing my master in statistics, I started a company (Rockestate) myself. So I know the drills of starting a company, building the MVP and getting the first clients.

I also have a recommender website online with over 100k visitors per year, check it out on

I love working for interesting companies that are building a product that I have never heard of.

And I love good coffee, lets have one?

Languages

Dutch
Native or bilingual
English
Fluent
French
Conversational

Workplace preferences

Can work on-site

Brugge (up to 50km), Gent (up to 50km), Brussel (up to 50km)

Otary offshore wind
Data scientist
ENERGY AND UTILITIES
December 2021 - January 2022 (2 months)
Offshore wind turbines vibrate, as the blades pass every rotation in front of the wind turbine tower. These tower vibrations shorten the lifespan of the wind turbine. By altering the load on the generator, the vibrations are reduced. But this dampening creates harmonics on the electricity grid. I had to study the severity of these harmonics. I used the classic Python data-science libraries and some signal processing packages like the Butterworth filter.
Python Data Science signal processing
The Job Coach
Data scientist
HUMAN RESOURCES
December 2020 - June 2022 (1 year and 5 months)
Together with the Jobcoach, we developed a personality test to recommend you corresponding jobs. By answering multiple choice questions, we first derive your profile in a two-dimensional space. Jobs are also mapped in this 2 dimensional space, and in combination with other factors such as educational level jobs are recommended. I developed both the recommendation algorithm, the backend (Python Flask) and the front end (Vue and Tailwind).
Data Science Front-End Development Back-End Development