Hey! It's Kasper Lindmark and I'm a Data Analyst located in Stockholm. I've worked on a variety of projects. My first big project was a Multiplatform system for the game Hexagroove. Recently I have been exploring Machine Learning and how to use it with different kinds of datasets.
I'm a curious person, and if I'm presented with something i know little about, it wouldn't be long before you find me nose deep in some obscure forum reading about it.
The goal with this project is to identify the best sources of protein, protein/kcal and the resulting cost effectiveness. My climbing friends and I want to find out what to buy when going on climbing trip, while on a budget.
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In this project I wanted to get an overview of what kind of listeners I have and their patterns over time. And to use that data to make a forecast on how future trends could look.
The goal was to better understand my data from streaming platforms, so I can keep making the right decissions for my artistic career.
The goal with this project is to identify patterns and gain insight into the 1988 Chilean national plebiscite. We will compare different demographics and voting patterns using statistical models. Classification models will be used for feature selection.
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During my internship at Ichigoichie, I worked on Hexagroove. I worked on many different features but my main tasks were centered around porting to Xbox and Steam from Nintendo Switch and managing system specific data that come in varying formats and styles.
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