Christina Muller
Data AnalystSenior Data Scientist at SoundCloud
SoundCloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist at SoundCloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a passionate data scientist and engineer. I am particularly interested in the process of building a prototype and turning it into a large scale machine learning application. Specialties: user-generated content, text, images, learning to rank, misspelling detection, bulk detection, fake account detection
Technische Universität Berlin
Diplom (M.Sc.), Computer Science ; Specialization in Machine Learning
January 1, 2006 – January 1, 2010
University of Potsdam
Vordiplom (B.Sc.), Computer Science
January 1, 2002 – January 1, 2006
SoundCloud
Senior Data Scientist
January 1, 2018 – Present
SoundCloud
Data Scientist
January 1, 2015 – January 1, 2018
Neofonie GmbH
Software Developer R&D
November 1, 2012 – December 1, 2014
Berlin
Technische Universität Berlin
Machine Learning Researcher
October 1, 2010 – March 1, 2012
Berlin
Fraunhofer FIRST
Student Research Assistant
March 1, 2008 – August 1, 2010
Berlin
Rundfunk Berlin-Brandenburg
Student Assistant
August 1, 2003 – January 1, 2005
Potsdam und Umgebung, Deutschland
Cultural Fit Analysis
The candidate has a strong background in research and development, transitioning into senior data science roles at a well-known tech company (SoundCloud). The experience aligns with a data-driven culture. However, the target role is 'Data Analyst', which might be a slight mismatch given the candidate's extensive 'Data Scientist' and 'Machine Learning Researcher' experience, potentially indicating overqualification or a desire for a different type of role. The project diversity is good within the ML/Data Science domain.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest a focus on delivering production-ready solutions and working on challenging problems (e.g., combating spam, improving search KPIs). While direct soft skill assessment data is not available, the project descriptions imply problem-solving, initiative, and technical leadership.