Daniel

Data Scientist

https://talent.gravityer.com/daniel-5

Python, linguistics, data science, reproducible research

UZH

Key Strengths

Extensive personal project experience in Python, particularly in natural language processing and computational linguistics.
Demonstrated proficiency with Jupyter Notebook for data analysis and presentation.
Experience with various web technologies (HTML, CSS, JavaScript, Vue) in personal projects, indicating a broad technical interest.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards academic and research-oriented projects, particularly in linguistics. This suggests a preference for roles that involve deep analytical work and problem-solving in specific domains. The current role as 'Data Scientist' at UZH aligns with this profile. However, the lack of diverse industry projects or team-based contributions in the provided data makes it difficult to fully assess cultural fit for a broader corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test results are not provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

buzzword

August 17, 2019 – September 22, 2021

Web app for corpus/computational linguistics

View Project

sire

July 5, 2019 – July 22, 2019

Python 3.7 new project template

View Project

depgrep

June 11, 2019 – May 6, 2020

Dependency parse searching

View Project

buzz

December 30, 2018 – March 25, 2023

linguistics backend

View Project

marugoto-frontend

November 6, 2018 – April 29, 2023

Frontend for the Marugoto Framework

View Project

marugoto

June 28, 2018 – March 31, 2021

Marugoto: eLearning Framework for Story Telling

View Project

conll-df

March 17, 2017 – November 21, 2017

CONLL-U to Pandas DataFrame

View Project

jason-lee-iran

December 23, 2015 – December 24, 2015

Photos from Iran

View Project

corpkit

March 19, 2015 – June 11, 2019

A toolkit for corpus linguistics

View Project

risk

February 20, 2015 – March 5, 2016

NYT Risk Semantics Project

View Project

Key Strengths

Extensive personal project experience in Python, particularly in natural language processing and computational linguistics.
Demonstrated proficiency with Jupyter Notebook for data analysis and presentation.
Experience with various web technologies (HTML, CSS, JavaScript, Vue) in personal projects, indicating a broad technical interest.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test results are not provided.

Daniel

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit