Aytekin Yenilmez

Data analysis of healthcare (clinical study) data specifically for pharmaceutical companies. Involving data preprocessing, cleaning, denoising, structuring, analysis and visualization. Statistical model creation with the proper data pipeline in a ready-to-use manner by the medical writing team (Automatization via Excel - R Server - Microsoft Word). Continuous communication with dossier & strategy teams about both results and the capabilities of the system.

- Image Processing of SARS-CoV-2 image data. Involving data preprocessing, cleaning, denoising and structuring. - Creation of AI Model with the proper data pipeline for the laboratory to use with other types of viruses too. - Continuous communication with virologists about both results and the capability of the system.

- Worked with real data from hospitals. - Data visualization and analysis specifically for non-technical domain experts (Consultancy) - Answered research questions and checked data reliability with Data Analysis, using R and Python

Data preparation, structuring, and preprocessing. AI model development such as SVM and LSTM. A custom GUI implementation for live and autonomous comparisons of models.

From testing normality, homogeneity of variance, reliability, to doing t-tests, one/two way ANOVAs, and assessing statistical significance in multivariate data; this was a project-based intensive training. We did workshops so that we tell our team members what we think, what we did and why we did it.

Designed a website for a scenario-based game. Designed front-end, back-end and database for the game using ReactJS, NodeJS and PostgreSQL.

Sound background in computer science for the design and development of health technologies ranging from imaging, bioinformatics to software engineering.

GPA: 3.46/4.0