Emil Rehnberg
Data Scientist
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolEmil Rehnberg is a data scientist with 13 years of cross-disciplinary experience combining mathematical statistics, bioinformatics and web development. He began in genetics and epigenetics research at Karolinska and Japan’s National Cancer Center, then transitioned to building production web applications before focusing on prediction and scoring systems as a senior data scientist at EF and now at Ericsson. Comfortable across R, Ruby/Rails and statistical programming, Emil has practical experience taking research-grade methods into robust production pipelines. He contributed to the widely used forecast R package by hardening function calls and tests, improving clarity and reliability in time series tooling. Based in Stockholm with an MSc in Mathematical Statistics, he bridges academic rigor and pragmatic engineering to deliver interpretable, maintainable analytics.
13 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Mathematical Statistics, Master of Science - MS, Mathematical Statistics at Stockholm University
English, Swedish, Japanese
Stackoverflow
981reputation
2.1mreached
5answers
0questions
editor
top-5%
Github Skills (13)
cran10
forecasting10
forecast10
time-series10
r10
data-analysis10
editor9
decision-tree6
vim6
global-variables6
homebrew6
environment-variables6
ruby6
Programming languages (11)
Github contributions (5)
robjhyndman/forecast
Feb 2020 - Feb 2020
Forecasting Functions for Time Series and Linear Models
Role in this project:
Data Scientist
Data ScientistContributions:33 commits, 1 PR, 6 comments in 2 days
Contributions summary:Emil primarily contributed to improving the `forecast` R package by addressing specific code issues. Their work focused on spelling out arguments for function calls, ensuring clarity and preventing partial match warnings, specifically within the `tbats`, `arima`, and `thetaf` functions. They also improved the test suite by explicitly specifying arguments related to time series frequency, enhancing the robustness and maintainability of the testing framework. Additionally, the user prettified some code.
forecastingr-packagetidymodelscranrstats
EmilRehnberg/anki-css
May 2015 - Nov 2020
Contributions:38 pushes, 1 branch in 5 years 6 months
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