Profilbild von Anonymes Profil, Bioengineer - Bioinformatician | Entry Level AI Engineer | Entry Level Web Developer
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Letztes Update: 10.09.2022

Bioengineer - Bioinformatician | Entry Level AI Engineer | Entry Level Web Developer

Abschluss: BSc in Bioengineering (English)
Stunden-/Tagessatz: anzeigen
Sprachkenntnisse: englisch (verhandlungssicher) | französisch (Grundkenntnisse) | spanisch (gut) | türkisch (Muttersprache)

Dateianlagen

CV_IremKaya.pdf

Skills

Background and knowledge in computer programming languages and frameworks including MATLAB, Python, HTML, CSS, JavaScript, React and React Native. 
 
Skilled in working with FEBio (Finite Elements for Biomechanics) software tool 

I designed a project in Molecular Modeling of Protein Interactions (Molecular Docking) and Bioinformatics during my graduation thesis. 

I gained skills and competencies in Molecular Design with Deep Learning during my internships.
The knowledge, skills and competencies acquired that I worked on during my internships and work experiences:
•    Bioinformatic and cheminformatic analysis of the nutraceutical database was conducted and the results of the research were published as a paper.

Kaya, I. and Colmenarejo, G. “Analysis of Nuisance Substructures and Aggregators in a Comprehensive Database of Food Chemical Compounds,” Journal of Agricultural and Food Chemistry, vol. 68, no. 33, pp. 8812–8824, Aug. 2020, doi: 10.1021/acs.jafc.0c02521.

•    Deeper knowledge of Python libraries for data analysis and data visualization and chemoinformatic toolkits especially Pandas, NumPy, Matplotlib
•    Deeper knowledge of Python libraries for chemoinformatic toolkits: RDKit
•    Familiarization with Python Machine Learning and Deep Learning libraries: TensorFlow, Keras, Scikit-Learn
•    Gaining a deeper knowledge of Python libraries for working medical imaging datasets: pydicom, SimpleITK
•    Gaining a deeper knowledge of Python libraries for preprocessing of the data and image processing: scikit-image, OpenCV
•    Gaining knowledge of Python Deep Learning libraries: PyTorch, PyTorch Lightning
​​​​​​​•    Working on medical image segmentation studies with CNN-based methods
​​​​​​​•    Professional usage of Git
 

Projekthistorie

07/2022 - bis jetzt
Jr. Machine Learning Engineer
Radiologics Medical (< 10 Mitarbeiter)

- Gaining knowledge of Python Deep Learning libraries: PyTorch, PyTorch Lightning
- Gaining a deeper knowledge of Python libraries for preprocessing of the data and image processing: scikit-image, OpenCV
- Working on medical image segmentation studies with CNN-based methods
- Working on lung disease diagnosis studies with Deep Learning
- Professional usage of Git
- Company project reporting


02/2022 - 07/2022
Deep Learning Engineer Intern
Radiologics Medical (< 10 Mitarbeiter)

- Gaining a deeper knowledge of biomedical imaging datasets and their properties
- Gaining a deeper knowledge of Python libraries for working medical imaging datasets: pydicom, SimpleITK
- Working on medical image segmentation studies with traditional methods
- Working on lung disease diagnosis studies with Deep Learning

Reisebereitschaft

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Profilbild von Anonymes Profil, Bioengineer - Bioinformatician | Entry Level AI Engineer | Entry Level Web Developer Bioengineer - Bioinformatician | Entry Level AI Engineer | Entry Level Web Developer
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