About Me
My Journey
My fascination with data began during my MSc in Biotechnology at METU, where I discovered the incredible potential of machine learning in bioinformatics. After achieving a 4.0 GPA from all courses, I realized my talent and curiosity in coding.
I wrote my thesis on text embeddings and gene-cell type annotation, building machine learning prediction models that integrate NLP and ML techniques for enhanced scRNA classification. This research experience solidified my expertise in data analysis and ML.
Education
Thesis: Next-generation Cell Type Annotation with NLP & ML. 4.0 GPA from all courses.
Foundation in biological sciences and data analysis.
Core Expertise
"Key is getting information from data" - My philosophy
Python Development
FastAPI and building scalable backend systems
Machine Learning & NLP
Text embeddings, bioinformatics, gene-cell type annotation, and statistical analysis
Data & Integration
MongoDB, data pipelines, API integrations, and system architecture