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Ahmet Duzduran

Data Science & Machine Learning Professional

📍Istanbul, Turkey (Digital Nomad)
📧ahmetduzduran@gmail.com
🌐ahmetduzduran.com
👨‍💻github.com/duzduran

Summary

A Data Science Enthusiast with expertise in Computer Vision (CV) & Natural Language Processing (NLP) including large language models (LLMs), specialized in developing advanced models and innovative solutions for complex problems. Demonstrated impact through contributions at Bayer, Foreo and in the tech community.

Experience

Independent Professional & Project Developer

Self-employed

Oct 2024 - Present

  • Working on multiple personal projects involving machine learning and data science
  • Building innovative solutions leveraging expertise in NLP and computer vision
  • Exploring new opportunities in AI/ML applications across various domains
PythonMachine LearningNLPComputer VisionLLMs

Machine Learning Engineer

Bayer

Oct 2023 - Sep 2024

  • Developed an NLP-based engine that classifies textual data as Adverse Event (AE) or non-AE
  • Conducted experiments with LLMs for adverse event detection, exploring their potential in improving performance and accuracy
  • Leveraged AWS technologies, including SageMaker, EC2, S3, and ECS, for efficient model training, deployment, and scaling
NLPAWSLLMsSageMakerPython

Data Scientist (Summer Intern)

Foreo

Jun 2023 - Sep 2023

  • Collaborated with a team to successfully build a predictive model assessing the positivity of FOREO product reviews
  • Spearheaded an NLP initiative using sentiment analysis to uncover skincare trends and extract actionable insights for marketing strategies
  • Conducted topic modeling to identify key content themes from a notable YouTuber, aiding potential influencer collaboration
Sentiment AnalysisTopic ModelingNLPPython

Education

Bachelor of Science in Computer Science

Polish-Japanese Academy of Information Technology

GPA: 4.75/5

B.Sc. Thesis

Deep Learning for Semantic Segmentation of Brain Tumors

Inference | Paper

  • Developed a CNN-based deep learning model for precise brain tumor segmentation in MRI scans
  • Trained and validated the model on the BraTS 2020 dataset, addressing challenges like class imbalance

Knowledge Sharing

Workshop Facilitator

Jan 2024

Led a 3-hours long workshop on "Natural Language Processing with Transformers" at the Google Developers Club

Blogging

Medium

Actively publish articles demystifying machine learning, data science concepts for a wide audience

Skills

Programming

  • Python (Advanced)
  • Java (Intermediate)
  • Scala

Data Analysis

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Tableau
  • Polars
  • OpenCV

ML/DL

  • PyTorch
  • Jax
  • TensorFlow
  • Scikit-Learn
  • Keras
  • Hugging Face
  • NLTK
  • spaCy

Other

  • SQL (PostgreSQL, MySQL)
  • NoSQL (MongoDB)
  • AWS (SageMaker, EC2, S3)
  • GCP
  • Git
  • Docker
  • Jupyter Notebook
  • Streamlit

Soft Skills & Interests

Soft Skills: Effective Communication, Problem-Solving, Team Collaboration, Critical Thinking, Time Management

Hobbies: Yoga, Rowing, Tennis, Basketball, Swimming, Blogging