Hamidullah Binol

About Hamidullah Binol

I’m a data scientist with over 5 years of hands-on experience developing machine learning and deep learning solutions across healthcare, remote sensing, and computer vision applications.Currently, I work as a Data Scientist Contractor at Bayer, where I build deep learning algorithms and scalable pattern recognition tools to drive actionable insights from complex datasets.Previously, I served as a Research Fellow at Wake Forest School of Medicine, where I developed deep learning pipelines for medical image analysis and supported clinical research through intelligent data preprocessing and model design.Prior to that, I worked as a Computer Vision Researcher at AYVOS, designing vision-based systems to analyze high-resolution surveillance video, including applications like people counting, gaze tracking, and real-time flame detection using motion and color analysis.I specialize in building end-to-end ML pipelines, with expertise in Python, PyTorch, TensorFlow, AWS, GCP, MLFlow, Prefect, and advanced modeling techniques (CNNs, transfer learning, ensemble methods, NLP, clustering, dimensionality reduction, etc.).I thrive at the intersection of research and applied AI, translating models into real-world tools, and insights into strategic impact. h••••••••@gmail.comSkills:Data science, Machine learning, Deep learning, Python, AWS, MLFlow, Prefect, SageMaker, R, MATLAB, Image Analysis, Natural Language Processing, Remote Sensing, Classification, Clustering, Google Cloud Platform, GCP, Jupyter Notebook, PyTorch, TensorFlow, Google Colab, scikit-learn, Random Forest, SVM, Support Vector Machines, k-Means, Regression, Convolutional Neural Networks, CNN, Dimensionality reduction, Git, numpy, Pandas, Spark, Ensemble Learning, Bagging, Boosting, Stacking, Meta Learning, Supervised Learning, Unsupervised Learning, Transfer Learning

Experience

1. Bioinformatics Scientist Ii

   Essex, Part Of Emmes Group

   Sep 2025 — Present

   Supporting the National Institutes of Health (NIH), National Cancer Institute (NCI) as a contractor through Essex Management- Advancing research in AI/ML and bioinformatics with a focus on scalable data-driven solutions- Applying and exploring large language models (LLMs) to enable knowledge discovery and accelerate biomedical insights.

Education

• Yıldız Teknik Üniversitesi

  Master of Science - MS, Electronics and Communications Engineering

  2010 — 2012

• Yıldız Teknik Üniversitesi

  Doctor of Philosophy - PhD, Electronics and Communications Engineering

  2012 — 2016

• Istanbul Technical University

  Bachelor's degree, Electronics and Communications Engineering

  2005 — 2010

Skills

• Video Işleme
• Örüntü Tanıma
• Makine Öğrenmesi
• Proje Yönetimi
• Uzaktan Algılama
• Microsoft Excel
• Bilgisayarla Görme
• Bilim
• Opencv
• Istatistik
• Programlama
• Matlab
• Görüntü Işleme
• Veri Analizi
• Işaret Işleme
• Araştırma
• Python
• Öğretim