Machine Learning Scientist / Data Analyst / Software Developer

freiberufler Machine Learning Scientist / Data Analyst / Software Developer auf freelance.de
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61440 Oberursel (Taunus)
26.06.2020

Kurzvorstellung

I am a researcher for ML and AI who also works on her PhD, especially in Quantum ML, Statistical AI and Probabilistic ML models. I have practical knowledge with ML frameworks, Python, R, Java, SQL, Spark, Hive etc. Solid understanding of statistics.

Auszug Referenzen (1)

"M. posses the technical and personal skills to achieve challenging goals efficiently and with great success."
Projektleitung "Humans vs Machines: A Comparison of Human and Deep Learning Perf
Kundenname anonymisiert
Tätigkeitszeitraum

1/2018 – 1/2019

Tätigkeitsbeschreibung

Convolutional neural networks have seen a rise in the computer vision community in the recent years, even surpassing human accuracies in face recognition tasks.

However, research regarding different face classification and face clustering experiments, which do not focus on the discrimination of face images according to unique individuals in the dataset, are still very limited. Many psychological studies indicate that humans are capable in inferring leaders, status and competence from facial images. This work focused on the question whether humans are indeed capable in telling profession – given by the branch of the profession and the career status – from face images and whether current state-of-the-art machine learning approaches
are able to do the same.

Furthermore, the performance of humans and machine learning systems were compared to give insights in the underlying processes.

Eingesetzte Qualifikationen

Computer Vision, Deeplearning4j, Faltendes Neuronales Netzwerk (CNN), Keras, Machinelles Lernen (allg.), Neuronale Netze, Pandas Datenrahmen, PyTorch, Support Vector Machine (SVM), TensorFlow, Python

Ich biete

IT, Entwicklung
  • Python
  • Machinelles Lernen (allg.)
  • TensorFlow
  • Faltendes Neuronales Netzwerk (CNN)
  • Support Vector Machine (SVM)
  • Deeplearning4j
  • Keras
  • Neuronale Netze
  • PyTorch
  • R (Programmiersprache)
  • Prozessoptimierung
  • Android Entwicklung
Forschung, Wissenschaft, Bildung
  • Statistik (allg.)
  • Data Science

Fokus
  • Java

Projekt‐ & Berufserfahrung

Android Developer
Kundenname anonymisiert, Remote
4/2020 – 5/2020 (2 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2020 – 5/2020

Tätigkeitsbeschreibung

Development of an android lockscreen with custom functionalities. Accessing network properties to send email feedback on wrong password input.
Languages: Java
Tools and libraries: Android Studio, Gmail API, Chaquopy (Python library for Java)

Eingesetzte Qualifikationen

Android Entwicklung


Research Scientist Machine Learning and Artificial Intelligence (Festanstellung)
Technische Universität Darmstadt, Darmstadt
11/2019 – offen (9 Monate)
IT & Entwicklung
Tätigkeitszeitraum

11/2019 – offen

Tätigkeitsbeschreibung

Research Scientist in the Machine Learning and Artificial Intelligence Lab of the Technical University Darmstadt at the Computer Science Department.
- Lead researcher of the university for a project funded by the Federal Ministry of Economic Affairs and Energy (BMWi) within the AI innovation competition "Artificial Intelligence as a driver for economically relevant ecosystems" with the goal to use AI for resilience optimization in production industries
- Research, test and further improve current state-of-the-art machine learning algorithms
- Implemented an image classifier and a time-series predictor based on Deep Learning and
probabilistic logic programming techniques as an efficient alternative to current
convolutional neural network models
- Research new methods to enhance graphical machine learning algorithms by using quantum
computing techniques

Eingesetzte Qualifikationen

Statistik (allg.), R (Programmiersprache), Deeplearning4j, Faltendes Neuronales Netzwerk (CNN), Keras, Machinelles Lernen (allg.), Support Vector Machine (SVM), TensorFlow, Python, Prozessoptimierung


Android Developer
Kundenname anonymisiert, Remote
8/2019 – 2/2020 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

8/2019 – 2/2020

Tätigkeitsbeschreibung

Development of an android app combining computer vision and machine learning. Detection of faces from camera and image input, comparison to database entries (CelebA Dataset) for face matching.
Languages: Java
Tools and libraries: Android Studio, Java-ML, deeplearning4j

Eingesetzte Qualifikationen

Computer Vision, Machinelles Lernen (allg.), Android


Machine Learning Researcher Cybersecurity
Fraunhofer SIT, Darmstadt
5/2019 – 11/2019 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

5/2019 – 11/2019

Tätigkeitsbeschreibung

Research Scientist in the group of Secure Information Technology of the Technical University Darmstadt/ Fraunhofer SIT at the department Cybersecurity Analytics and Defences.
- Researched state-of-the-art methods in cybersecurity, especially in using machine learning models for intrusion detection and prevention, as well as for automated firewall configurations
- Management of funding for interns and assistants
- Held job interviews for new tutors in the department
- Organization of the lectures: worked as a lecturer, designed and corrected exams, helped with exercise classes
- Participated in weekly reading groups and presented project results

Eingesetzte Qualifikationen

Cyber Security, Machinelles Lernen (allg.)


Full-stack Software Development: Automated Billing Software
Kundenname anonymisiert, Mannheim
3/2019 – 4/2019 (2 Monate)
Dienstleistungsbranche
Tätigkeitszeitraum

3/2019 – 4/2019

Tätigkeitsbeschreibung

Full-stack development of an automated billing software running on both windows and macOS machines. The software was connected to a database using mySQL and phpmyadmin. UI design and implementation. Amortization of the software.
Languages: Java
Tools and libraries: PDFBox, JODConverter, Apache POI, phpMyAdmin, mySQL, com.spire.doc, JFreeChart

Eingesetzte Qualifikationen

Mac OS, Microsoft Windows (allg.), Java (allg.)


Molecule Dynamics Simulation and Protein Structure Modelling
Goethe University, Frankfurt
4/2018 – 10/2018 (7 Monate)
IT & Entwicklung
Tätigkeitszeitraum

4/2018 – 10/2018

Tätigkeitsbeschreibung

Modelling dynamics of a molecular system, especially regarding underlying kinetics and energy levels. Implementation of Leap-Frog algorithm and simulated annealing. Modelling of molecular structure from protein sequences.
Languages: Python, Java
Tools and libraries: GROMACS, MODELLER, SWISS-MODEL

Eingesetzte Qualifikationen

Biologie, Chemie, Physik, Software Architektur / Modellierung


Projektleitung "Humans vs Machines: A Comparison of Human and Deep Learning Perf
Fraunhofer IGD, Darmstadt
1/2018 – 1/2019 (1 Jahr, 1 Monat)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

1/2018 – 1/2019

Tätigkeitsbeschreibung

Convolutional neural networks have seen a rise in the computer vision community in the recent years, even surpassing human accuracies in face recognition tasks.

However, research regarding different face classification and face clustering experiments, which do not focus on the discrimination of face images according to unique individuals in the dataset, are still very limited. Many psychological studies indicate that humans are capable in inferring leaders, status and competence from facial images. This work focused on the question whether humans are indeed capable in telling profession – given by the branch of the profession and the career status – from face images and whether current state-of-the-art machine learning approaches
are able to do the same.

Furthermore, the performance of humans and machine learning systems were compared to give insights in the underlying processes.

Eingesetzte Qualifikationen

Computer Vision, Deeplearning4j, Faltendes Neuronales Netzwerk (CNN), Keras, Machinelles Lernen (allg.), Neuronale Netze, Pandas Datenrahmen, PyTorch, Support Vector Machine (SVM), TensorFlow, Python


Machine Learning Project: Prediction of Neural Activity
Zentralinstitut für Seelische Gesundheit, Mannheim
7/2015 – 9/2015 (3 Monate)
Gesundheitswesen
Tätigkeitszeitraum

7/2015 – 9/2015

Tätigkeitsbeschreibung

Implementation of state-of-the-art deep learning models to predict down-regulation of amygdala activation from resting-state functional connectivity (fMRI data). First and second level statistical analysis. ROI and multiple regression analysis.
Languages: Python, R, Matlab
Tools and libraries: Matlab SPM8, CONN, Tensorflow

Eingesetzte Qualifikationen

TensorFlow, SAP SPM, MATLAB / Simulink, Python


Engineer Intern
Zentralinstitut für Seelische Gesundheit, Mannheim
1/2015 – 1/2016 (1 Jahr, 1 Monat)
Gesundheitswesen
Tätigkeitszeitraum

1/2015 – 1/2016

Tätigkeitsbeschreibung

Internship at the Central Institute for Mental Health in the department of Neuroimaging
- Processing psychophysical and neuropsychological experiments
- Screenings for proband acquisition and administration of proband lists in Excel and SPSS
- Programming experimental environments with C++, Python, OpenSesame and Presentation
- Processing and evaluating fMRI data with R, Matlab, FSL and SPM

Eingesetzte Qualifikationen

SAP SPM, C++, MATLAB / Simulink, Python


Zertifikate

Master of Science Bioinformatics
April 2019

Bachelor of Science Sensory and Cognitive Psychology
September 2016

Ausbildung

Bioinformatik
(Master of Science)
Jahr: 2019
Ort: Goethe Universität Frankfurt

Sensorik und kognitive Psychologie
(Bachelor of Science)
Jahr: 2013
Ort: TU Chemnitz

Qualifikationen

Machine Learning, Deep Learning, CNN, NN, SVM, PCA, LDA, kNN, NumPy, Pandas, Scikit- Learn, PyDot, SciPy, Theano, Keras, TensorFlow, Caffe, pyTorch, SPFlow, ProbLog, DeepProblog, DeepLPMLN, Java-ML, Deeplearning4j, CARET, randomForest, nnet, xgboost, svm, TensorFlow Quantum, Qiskit, Rigetti, PennyLane, Strawberry Fields, Quantum++, IBM Q, Python, R, Java, C++, JavaScript, SQL, Scala, Kotlin, Prolog, LPMLN, Hadoop, Spark, Hive, PySpark, Azure Notebooks, MLlib, CUDA, Scrapy, BeautifulSoup,
Selenium, Cheerio, Request, Photoshop, Blender, ZBrush, macOS, windows, kali linux, ubuntu, Jira, Confluence, Git, MS Office, LateX, Oracle’s VirtualBox, MySQL, MongoDB, MATLAB, Wireshark.

Über mich

Highly motivated and curious Ph.D. student at the AIML Lab of the Technical University Darmstadt and full-stack software developer. Strong understanding and background in natural sciences and physics, as well as in probability theory, random processes, statistics, optimization, quantum enhanced ML frameworks, statistical relational learning, probabilistic logic programming, deep learning architectures, reinforcement learning. Significant experience in data visualization, modelling, simulation and analysis. Highly educated, possessing a Bachelor’s degree in cognitive science with focus on computer vision and a Master’s degree in bioinformatics. Multilingual in German, English and Turkish, with an intermediate understanding of French.

As a hobby I am developing Android Apps with Android Studio, I design websites with WordPress and I like to draw (2D and 3D) with Photoshop, ZBrush and Blender.

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Türkisch (Gut)
  • Französisch (Grundkenntnisse)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
197
Alter
26
Berufserfahrung
2 Jahre und 6 Monate (seit 01/2018)
Projektleitung
1 Jahr

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