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Nazan Sonal

@nazansonal

Computer Engineering graduate pursuing machine learning and AI projects; developed an obesity phenotype classification pipeline using CDC NHANES data.

Turkey

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What I'm looking for

I’m seeking opportunities to deepen my knowledge of machine learning and artificial intelligence through applied projects, with responsibilities in data analysis and model development.

At Adnan Menderes University, I cleaned data, engineered features, and trained XGBoost models on approximately 5,000 records, documenting results for the project supervisor.

For my TÜBİTAK 2209-A-supported undergraduate thesis, I developed a machine learning pipeline to classify six obesity phenotypes using CDC NHANES data. I applied particle swarm optimization for numerical hyperparameter tuning, and the work was published in IEEE Xplore.

I also engineered an image-captioning pipeline using PyTorch and CNN encoders with attention, and built a six-stage code review agent using LangGraph. I’m looking to grow my knowledge of machine learning and artificial intelligence through applied projects and responsibilities in data analysis and model development.

Experience

Work history, roles, and key accomplishments

Intern

Adnan Menderes University

Jan 2025 - Dec 2025 (11 months)

Cleaned, engineered features, and trained XGBoost models on ~5,000 records while documenting results for the project supervisor.

XGBoost Data Cleaning Feature Engineering Documentation

Intern

Bağcılar Municipality

Jan 2024 - Dec 2024 (11 months)

Contributed to smart city research and supported Python software development tasks.

Python Smart City Research

Education

Degrees, certifications, and relevant coursework

Aydın Adnan Menderes University

Bachelor, Computer Engineering

2021 - 2026

Grade: 3.42

Pursued a Bachelor's degree in Computer Engineering, achieving a GPA of 3.42. The program provided a strong foundation in computer science and engineering principles.