freiberufler Machine Learning Scientist / Data Analyst / Software Developer auf freelance.de

Machine Learning Scientist / Data Analyst / Software Developer

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  • auf Anfrage
  • 64380 Roßdorf
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  • de  |  en  |  tr
  • 22.04.2023

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, Maschinelles Lernen, Neuronale Netze, Pandas DataFrame, PyTorch, Support Vector Machine (SVM), TensorFlow, Python

Qualifikationen

  • Agile Entwicklung
  • Android Entwicklung
  • Data Science
  • Deeplearning4j
  • Faltendes Neuronales Netzwerk (CNN)
  • Java
  • Keras
  • Maschinelles Lernen
  • Neuronale Netze
  • Prozessoptimierung
  • Python
  • PyTorch
  • R (Programmiersprache)
  • Softwareentwicklung (allg.)
  • Statistik (allg.)
  • Support Vector Machine (SVM)
  • TensorFlow

Projekt‐ & Berufserfahrung

Machine Learning Engineer / NLP
SensAI Technologies, Remote
4/2020 – 7/2020 (4 Monate)
Life Sciences
Tätigkeitszeitraum

4/2020 – 7/2020

Tätigkeitsbeschreibung

Built a machine learning / NLP web-model for information extraction from scientific papers. This included the automatic extraction of meta-data using OCR and text recognition, as well as Named Entity Recognition and the construction of a knowledge base about entity relationships in a medical context. The algorithm was integrated in an AWS framework with docker. Languages: Python, R
Tools and libraries: SpaCy, NLTk, TextBlob, Django, Docker, AWS, pypdf2, tesseract

Eingesetzte Qualifikationen

Computer Vision, Natural Language Processing (NLP), Python

CEO and Consulter
SubCode Development, Roßdorf
3/2020 – offen (4 Jahre, 1 Monat)
IT & Entwicklung
Tätigkeitszeitraum

3/2020 – offen

Tätigkeitsbeschreibung

Consultation in software development and artificial intelligence, project lead, agile project management.

Eingesetzte Qualifikationen

Maschinelles Lernen, Agile Entwicklung, Softwareentwicklung (allg.)

ML and AI for Resilience Optimization in Production Industries
BMWi, Darmstadt
11/2019 – 4/2020 (6 Monate)
Soziale Einrichtungen
Tätigkeitszeitraum

11/2019 – 4/2020

Tätigkeitsbeschreibung

AI-based resilience management for manufacturing companies in production systems. I lead the second work package and worked on POCs, which included consultation, data analysis and the deployment of machine learning tools for feasibility analysis.
Languages: Python, R, Java, C++
Approaches: NLP, NER and KBC, Deep Learning, SMN, NN, LSTM, Inference, Logic Programming

Eingesetzte Qualifikationen

Statistik (allg.), Maschinelles Lernen, Natural Language Processing (NLP), Python

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, Maschinelles Lernen, 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, Maschinelles Lernen

Full-stack Software Development: Automated Billing Software
ALPHA Gebäudemanagement, 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.)

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, Maschinelles Lernen, Neuronale Netze, Pandas DataFrame, 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
2019
Bachelor of Science Sensory and Cognitive Psychology
2016

Ausbildung

Bioinformatik
Master of Science
2019
Goethe Universität Frankfurt
Sensorik und kognitive Psychologie
Bachelor of Science
2013
TU Chemnitz

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.

Weitere Kenntnisse

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.

Persönliche Daten

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
  • Türkisch (Gut)
  • Französisch (Grundkenntnisse)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
Home-Office
bevorzugt
Profilaufrufe
2632
Alter
30
Berufserfahrung
6 Jahre und 2 Monate (seit 01/2018)
Projektleitung
1 Jahr

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