
Oğuzhan Memiş 🇵🇸
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dronecare
Data Scientist
June 29, 2026 – Present
smoking_research
May 6, 2026 – Present
Effect of smoking status on myocardial infarction (MI, heart attack) and lung cancer, is studied with statistical tests implemeted by R language.
View ProjectEEG_FTD_Alzheimer
March 29, 2026 – Present
Classification of Alzheimer's , Frontotemporal Dementia and healthy controls by EEG signals. The signals are obtained from an OpenNeuro 2023 dataset.
View Projectgene_expression_microarray
January 14, 2026 – Present
2007 benchmark Microarray dataset is evaluated to predict cancer by gene expression levels.
View ProjectParkinsonVoiceFeatures
December 15, 2025 – December 15, 2025
Predictive model on Parkinson's disease, by using one of the recent voice-feature dataset
View ProjectAlzheimerMRI
May 6, 2025 – May 21, 2025
Classification of T1-Weighted MRI images of Alzheimer's Disease, in Python.
View ProjectEEG_Schizophrenia
December 19, 2024 – January 31, 2025
Schizophrenia - Normal binary classification among adolescent EEG signals, obtained from an open-access dataset.
View ProjectFeature_Extraction
December 9, 2024 – December 16, 2024
Some useful Time and Frequency domain feature extraction built-in Python codes, with article reference.
View ProjectLungCNN
December 4, 2024 – December 4, 2024
Pytorch CNN model implementation to classify pulmonary diseases in chest X-ray dataset.
View ProjectWaveletCheatSheets
November 23, 2024 – November 23, 2024
Some quick-notes and "cheat sheets" about Wavelet Transforms and Time-Frequency analyses.
View ProjectParkinsonVoiceSVM
October 25, 2024 – October 26, 2024
Study of classification of Parkinsons's disease with dataset of voice features, by using Sci-kit learn library.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily concentrated in biomedical data science. While this shows initiative and domain interest, it suggests a potentially narrow focus. There is only one current professional role listed with no details, making it difficult to assess team collaboration or adaptability to diverse project types. The lack of diverse project types or team-based work in the provided data limits the assessment of cultural fit beyond individual contribution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.