Resume of Jona Sassenhagen
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Jona Sassenhagen
MLOps@DataRobot

About

Analysing neural time series as a brain and cognitive neuroscientist and language in all its complexities as a linguist taught me the power of python (e.g. numpy, scipy, pandas, matploblib, keras, nltk, spacy, word2vec/FastText) for making sense of complex pattern in large amounts of data. Contributions to open source projects (such as scikit-learn) showed me the value of good software engineering practices – including version control with git and test-driven development. Now I am lucky to work with teams of great software developers and machine learning engineers, leading them in building exciting machine learning applications, while coordinating various priorities and stakeholders, technical and non-technical.

Work Experience

Datarobot
Remote
datarobot.com
January 2022 – Present
Engineering Manager
Leading a team of software engineers and data scientists building DataRobot's Model Monitoring and Management capabilities.
DataRobot
Remote
datarobot.com
July 2020 – December 2021
Senior Machine Learning Engineer
Forecasting and optimising the success of COVID-19 vaccine trials. Modelling impact of COVID-19 Rapid Antigen Testing. Federal NLP team lead.
DataRobot
Remote
datarobot.com
July 2019 – July 2020
Machine Learning Engineer
Building custom algorithms for DataRobot's optimisation applications. Leading a team of software engineers developing DataRobot's AI Apps.
Goethe University Frankfurt
Frankfurt am Main, Germany
January 2015 – June 2019
Postdoctoral Researcher
Analysing neural time series using Machine Learning at the Fiebachlab for Cognitive Neuroscience.

Contact

Education

  • 2009 2014

    Philipps-University Marburg

    PhD

    Linguistics

    Grade: Summa cum laude (best)

  • 2004 2009

    Philipps-University Marburg

    M.A.

    German Language and Literature, Philosophy & Science of Religion

Skills

Python
Machine Learning
Data Science
Communication