Gulcin Demirkiran

Data Science & Analysis:

• OpenCV and Pandas for facial and mask detection from Kaggle datasets (https://www.kaggle.com/datasets/andrewmvd/face-mask-detection).
• Data manipulation and visualization using Pandas and Matplotlib for car price prediction dataset (https://www.kaggle.com/datasets/mrsimple07/car-prices-prediction-data).
• Jupyter Notebook for streamlined data processing and analysis.

Backend Development:

• Django app using Django Ninja for efficient API development and backend management.
• Dockerized Django application.
• Integrated data fetching from Active Directory and implemented CRUD operations.
• Built and optimized HTTP request handling for robust backend performance.

• Proficient in teaching coding to teens with a primary focus on Python programming language
• Notable aspects of my coding instruction include: Python Programming and Game Development, Terminal Proficiency, Algorithmic Thinking, Syntax Mastery
• Conducted interactive sessions on Science, aligning with the International Baccalaureate Middle Years Programme (IB MYP) standards
• Providing language proficiency development through tailored lessons, encompassing grammar, vocabulary, and communication skills

• Technologies and Tools Used: Python, OpenCV, Sensors (Acceleration, Gyroscope, Multimeter, Barometer...), Raspberry Pi Camera Module, Communication Protocols
• Advanced Object Detection Implementation
• Sensor Integration
• Communication System Design - Algorithm Design - Flowchart
• Problem Solving in Underwater Navigation

• Tools Used: Jupyter Notebook and Python libraries like Scikit-learn, TensorFlow, PyTorch, NumPy, Pandas, Keras, OpenCV, and Seaborn
• Data Visualization
• Linux Proficiency
• Interdisciplinary Collaboration
• Advanced Data Imputation Techniques
• Collaboration and Communication