Freelancer Data Scientist
Schlagwörter
Skills
Programming, Python, MATLAB, LaTeX, Bash, SQL, numpy, scipy, pandas, Machine Learning, Neural Networks, keras, TensorFlow, matplotlib, seaborn, Git, UNIX, Cloud, AWS, GCP, Natural Language Processing, People Analytics, Pair Programming, Data Strategy, Data Science, coding, social media, Sklearn, Clustering, Regression, Bayesian, Signal Processing
Projekthistorie
05/2022
-
bis jetzt
03/2022
-
06/2022
Data Science Trainee
neuefische GmbH
? neuefische GmbH
* Full-time coding bootcamp with the goal to transfer data science skills to business use cases.
* 540 hours of programming practice and development of the final project:
Detoxify my social media: Automatic detection of toxic content on social media .
* Applied technologies and tools: Python, Pandas, NumPy, Matplotlib, Seaborn, SciPy, Sklearn,
SQL, TensorFlow, Keras, UNIX, Git, AWS.
* Full-time coding bootcamp with the goal to transfer data science skills to business use cases.
* 540 hours of programming practice and development of the final project:
Detoxify my social media: Automatic detection of toxic content on social media .
* Applied technologies and tools: Python, Pandas, NumPy, Matplotlib, Seaborn, SciPy, Sklearn,
SQL, TensorFlow, Keras, UNIX, Git, AWS.
11/2020
-
02/2022
Head of Data & Senior Researcher
Universität der Bundeswehr
? Universität der Bundeswehr, Munich
* Data Science: Predictive modelling of mobility behavior, discovery of socioeconomic patterns
in mobility behavior.
* Team Lead: Supervision of three doctoral students.
* Agile Project Management: Setup of a system of shared micro-mobility on campus.
* Applied technologies: Python, Data Clustering, Predictive Modelling, Regression, Pandas,
NumPy, Matplotlib, Seaborn, SciPy, Sklearn.
* Teaching: Programming courses for Engineers.
* Data Science: Predictive modelling of mobility behavior, discovery of socioeconomic patterns
in mobility behavior.
* Team Lead: Supervision of three doctoral students.
* Agile Project Management: Setup of a system of shared micro-mobility on campus.
* Applied technologies: Python, Data Clustering, Predictive Modelling, Regression, Pandas,
NumPy, Matplotlib, Seaborn, SciPy, Sklearn.
* Teaching: Programming courses for Engineers.
10/2016
-
09/2020
Researcher & Teaching Assistant
Ghent University
? Ghent University
* Data Science: Optimization of Bayesian models and improving the disentanglement of the
signal from the noise of neural and electrical time series.
* Project Management: International collaborations with renowned researchers; supervising
students' research activities.
* Applied Technologies: MATLAB, Python, R, SPM, electroencephalographic (EEG) data, Time
Series Analysis, Signal Processing, Bayesian Modeling, Regression, Classification, Causal Inference,
High-Performance Computing.
* Teaching: Statistics for psychology and statistics students.
* Data Science: Optimization of Bayesian models and improving the disentanglement of the
signal from the noise of neural and electrical time series.
* Project Management: International collaborations with renowned researchers; supervising
students' research activities.
* Applied Technologies: MATLAB, Python, R, SPM, electroencephalographic (EEG) data, Time
Series Analysis, Signal Processing, Bayesian Modeling, Regression, Classification, Causal Inference,
High-Performance Computing.
* Teaching: Statistics for psychology and statistics students.
Reisebereitschaft
Verfügbar in den Ländern
Deutschland
