mikkelkrogsholm Goto Github PK

followers: 46.0 following: 6.0 repos: 102.0 gists: 12.0

Type: User

Company: Brokk og Sindre ApS

Bio: Kicking data science ass @ Teradata! Powering data driven insights @ Smukfest!

Location: Denmark

Blog: http://www.56n.dk

Hi there

🔭 I’m currently working on ...

Cool science stuff for Novo Nordisk where I am working as an external consultant through Teradata.

I am reading in data from the different lab instruments and creating algorithms to automatically extract features for different molecules.

🌱 I’m currently learning ...

How to make Streamlit apps to communicate the cool data science that I do.

💬 Ask me about ...

Everything related to R. I have extensive knowledge of the language, so please reach out if you have questions.

I am also a fairly good Python programmer, so feel free to reach out in that regard too.

📫 How to reach me: ...

⚡ Fun fact: ...

I am an avid photographer and artist - and I love heavy metal.

Tech Stack

Languages

IDEs

DevOps

OS

Databases

Frontend

mikkelkrogsholm's Projects

airflow_dood

Airflow D(ocker) O(utside) O(f) D(ocker)

alarmeringsapp

Retrieves and parses the xml data from the alarmeringsapp rss feed as can be found her: https://alarmeringsapp.like.st/rss

all-the-databases

A GraphQL server tutorial combining 5 data sources

badevand

The package retrieves data from the API for beach data available at <http://api.vandudsigten.dk/doc/beaches>.

bertsearch

Elasticsearch with BERT for advanced document search.

This is a data package, that contains data sets regarding songs on the Billboard Hot 100 list from 1960 to 2016. The data sets include the ranks for the given year, musical features of a lot of the songs and lyrics for several of the songs as well.

bolighed

This is an R package for getting gata from bolighed.dk

boligmarkedsstatistikken

Boligmarkedsstatistikken indeholder kvartalsvise oplysninger om de gennemsnitlige kvadratmeterpriser og antallet af frie handler for parcel- og rækkehuse, ejerlejligheder og fritidshuse siden 1992. Tallene er opgjort for landet som helhed, men også for de enkelte regioner, landsdele, kommuner og postnumre. Det er også muligt at hente nøgletal på prisnedslagene på de solgte ejerboliger i perioden fra 2004 og frem.