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Yannick Lehr
Data Scientist at ioki – a DB company
Frankfurt am Main, Germany
EMPA
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
2,648.9
CodersRank Rank
Top 1%
Top 10
Jupyter Notebook
Developer
Germany
Top 5
Less
Developer
Germany
Top 10
SQL
Developer
Germany
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
145.1
exp.
TypeScript
494.4
exp.
JSON
420.3
exp.
JavaScript
244.2
exp.
SCSS
96.2
exp.
Python
89.3
exp.
CSS
194.2
exp.
Less
36.5
exp.
HTML
512
exp.
Shell
31
exp.
PHP
288.7
exp.
List your work history, including any contracts or internships
ioki – a DB company
Jun 2021 - Present (3 years 6 months)
Data Scientist
80% position
GSA - Global Student Accommodation
Nov 2019 - Feb 2020 (3 months)
Resident Advisor
One of 3 residential advisors for the largest student accommodation in Perth.
Responsible for the security of the building and the welfare of the students after business hours
During this time I was able to further improve my international communication and interpersonal skills
Responsible for the security of the building and the welfare of the students after business hours
During this time I was able to further improve my international communication and interpersonal skills
The University of Western Australia
Oct 2019 - Feb 2020 (4 months)
Data Analytics Consultant
Qualitative data review of the university's database:
During my internship, I was tasked with data quality analysis of the university database. In doing so, I was able to identify various redundancies, as well as evaluate the data density. The resulting report was successfully used by the university during a follow-up project.
During my internship, I was tasked with data quality analysis of the university database. In doing so, I was able to identify various redundancies, as well as evaluate the data density. The resulting report was successfully used by the university during a follow-up project.