a Randstad company

Data Scientist and Machine Learning Researcher with a strong focus on Computer Vision and NLP

Profil
Top-Skills
Machine Learning Data Scientist Computer Vision NLP Künstliche Intelligenz AWS Apache Spark Python Deep Learning TensorFlow Bildverarbeitung Text Mining Cloud Computing
Verfügbar ab
18.11.2022
Aktuell verfügbar - Der Experte steht für neue Projektangebote zur Verfügung.
Verfügbar zu
20%
davon vor Ort
50%
Einsatzorte

Städte
Darmstadt (+50km)
PLZ-Gebiete
Remote-Arbeit
möglich
Art des Profiles
Freiberufler / Selbstständiger
Der Experte ist als Einzelperson freiberuflich oder selbstständig tätig.

1 Jahr 7 Monate

2021-04

heute

Development of machine learning models

Independent ML consultant
Rolle
Independent ML consultant
Projektinhalte

Consulting companies on their machine learning and data science projects.

  • Identifying impactful use cases for machine learning

  • Guiding data collection

2 Jahre 2 Monate

2020-09

heute

Digital product development.

Senior Data Scientist
Rolle
Senior Data Scientist
Projektinhalte

Highlight projects:

  • Implementation of a multi-step computer vision pipeline to extract knowledge from patents and publications, enabling large scale screening.

  • Smart search within a vast amount of regulatory information. The solution enables users to quickly adapt their personalized search, powered by weakly supervised learning and data programming.

Topics:

  • Computer Vision (e.g. image segmentation, detection, classification).

  • Natural Language Processing (e.g. document classification, trend analysis, topic modelling).

  • Machine learning for more general datasets.

  • Applying and developing complex deep learning models where necessary.

  • Distributed data processing with PySpark and on AWS.

Tasks:

  • Consulting of internal business stakeholders in research, regulatory, quality, and commercial on data-driven use cases.

  • Delivery of data-driven projects from scoping to production while focusing on business-centric KPIs.

  • Development of foundational machine learning assets.

  • Fostering of internal data science community by organizing and contributing to knowledge exchanges.

Kunde
Merck KGaA, Darmstadt, Germany
3 Jahre 6 Monate

2019-05

heute

Data Science

Data Scientist
Rolle
Data Scientist
Kunde
Merck KGaA, Darmstadt, Germany

5 Jahre

2014-04

2019-03

Ph.D. student

Ph.D. student, TU Darmstadt
Abschluss
Ph.D. student
Institution, Ort
TU Darmstadt
Schwerpunkt

Topics:

  • Deep learning

  • Supervised, semi-supervised, and unsupervised learning

  • Realistic evaluation of image denoising algorithms

  • Models of image sensor noise

  • Image restoration

  • Variational inference

  • Image-to-geometry registration

  • Generative adversarial networks

Tasks:

  • Research

  • Supervision of students

  • Teaching assistance

  • Reviewer for CVPR, ICCV, ECCV, GCPR, ICML

Thesis: on request

  • Final grade: Very Good

2 Jahre 7 Monate

2011-10

2014-04

M. Sc. Computer Science

M. Sc. Computer Science, TU Darmstadt
Abschluss
M. Sc. Computer Science
Institution, Ort
TU Darmstadt
Schwerpunkt

Thesis Topic: on request

Final grade: 1.0

2 Jahre 9 Monate

2008-10

2011-06

B.Sc. Computer Science

B.Sc. Computer Science, TU Darmstadt
Abschluss
B.Sc. Computer Science
Institution, Ort
TU Darmstadt
Schwerpunkt

Thesis Topic: on request

Final grade: 1.0

German Native speaker
English Proficient user
French Basic skills
Spanish Basic skills

Top Skills
Machine Learning Data Scientist Computer Vision NLP Künstliche Intelligenz AWS Apache Spark Python Deep Learning TensorFlow Bildverarbeitung Text Mining Cloud Computing
Produkte / Standards / Erfahrungen / Methoden

Deep learning frameworks

Strong experience with PyTorch, Chainer, Tensorflow Working knowledge of Caffe, Theano, Matconvnet

Distributed and cloud computing

Solid experience with PySpark and AWS

Working knowledge of relational database systems

Familiar with common tools for programming and typesetting Experience with Windows and Linux operating systems

Teaching Assistance Experience

Winter terms 2015/16, 2016/17

Computer Vision I

Introductory course to computer vision

Summer terms 2014, 2015, 2018

Computer Vision II

Advanced course in computer vision

Winter term 2014/15

Machine Learning: Statistical Approaches II

Advanced course in contemporary machine learning

Summer terms 2014, 2015, 2016

Advanced Topics in Computer Vision and Machine Learning

Seminar covering recent literature in computer vision and machine learning

Summer terms 2016, 2017

Visual Computing Lab

Practical lab focusing on applications in computer vision and computer graphics

Winter terms 2016/17, 2017/18, 2018/19

Deep Learning Lab

Practical lab focusing on deep learning applications

Academic Experience

2014-04 - 2019-03

Customer: TU Darmstadt Department of Computer Science (Visual Inference Lab)

Role: Research Assistant

2021-10 - 2013-03

Customer: TU Darmstadt Department of Computer Science (Visual Inference Lab)

Role: Student Research Assistant: Modelling natural images with RBM

2011-10 - 2012-04

Customer: TU Darmstadt Department of Computer Science (Knowledge Engineering Group)

Role: Student Research Assistant: Nearest-neighbour algorithms

2010-11 - 2011-06

Customer: TU Darmstadt Department of Computer Science (Knowledge Engineering Group)

Role: Student Research Assistant: Nearest-neighbour algorithms

Work Experience

2011-07 - 2011-10

Customer: PASS Consulting AG, Aschaffenburg

Role: Internship

  • Model driven software engineering

2009-01 - 2010-11

Customer: Inconso AG, Bad Nauheim

Role: Working Student

  • Software for logistic processes

2008-04 - 2008-09

Customer: Inconso AG, Bad Nauheim

Role: Internship

  • Software for logistic processes

Programmiersprachen

Familiar with procedural, object-oriented, functional and logic programming

  • Strong experience with MATLAB, Python, Java

  • Working knowledge of Javascript, C++, C#

Publications on request

Honors & Awards on request

Machine Learning Competitions on request

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