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betul-bostan/README.md

Hi, I'm Betül Bostan 👋

I am a 4th-year Computer Engineering student at Kastamonu University, focusing on Data Science, Machine Learning, Mobile Application Development, and Software Engineering.

I enjoy transforming data into meaningful insights, building user-oriented applications, and developing technology-driven solutions for real-world problems.

About Me

  • 🎓 4th-year Computer Engineering student at Kastamonu University
  • 🎓 Scholar at the Artificial Intelligence and Technology Academy
  • 📊 Interested in Data Science, Machine Learning, Data Analysis, and Statistics
  • 📱 Developed mobile applications using Flutter
  • 💻 Experienced with Git, GitHub, branches, pull requests, code reviews, and software testing
  • 🌱 Currently improving my skills in machine learning, software engineering, APIs, and deployment

Experience

Data Science Intern — Turkish Court of Accounts

During my internship at the Turkish Court of Accounts, I worked with multiple datasets and focused on extracting meaningful findings through data analysis.

  • Examined and cleaned structured datasets
  • Identified patterns and meaningful insights
  • Applied data analysis and visualization methods
  • Improved my practical experience in data-driven problem solving

Achievements

  • 🥇 1st Place in the Project Writing Competition organized within the 21st Century Professional Life Skills and Awareness Academy
  • 🏆 OnTrack was selected among the Top 10 projects at the Kastamonu University Computer Engineering Project Festival
  • 🏅 Received incentive awards for two project proposals submitted to the UDHAM inter-university idea competition
  • 🤝 Founding member and secretary of the Active Campus Community

Featured Projects

OnTrack — Smart Walking and Music Assistant

A Flutter-based mobile application designed to make walking more organized, motivating, and enjoyable by combining route planning, music, progress tracking, and personal safety features.

Key Features

  • Route and music-based walking plans
  • Daily walking records and history
  • Progress analysis and achievement badges
  • Personal safety and customizable settings
  • Modern and user-friendly mobile interface

Achievements

  • 1st Place in the Project Writing Competition
  • Top 10 at the Kastamonu University Computer Engineering Project Festival

Technology: Flutter


Digital Twin-Based Blue Homeland Threat and Security System

A project developed for the UDHAM “Reaching and Accessible Türkiye 2053” Inter-University Idea Competition.

The project proposes a digital twin-based maritime decision support system combining artificial intelligence, sensor fusion, anomaly detection, predictive analysis, and cybersecurity.

My Role

  • Group representative and software developer
  • Contributed to system architecture design
  • Worked on LoRa Mesh network planning
  • Contributed to the SafeSea and SafePort mobile interface designs
  • Supported technical research, documentation, and presentation preparation

Digital Twin-Based Hybrid Ship Communication Network

An idea project developed for the UDHAM “Reaching and Accessible Türkiye 2053” Inter-University Idea Competition.

The project proposes a hybrid maritime communication system combining Digital Twin technology, LoRa Mesh networks, offline data synchronization, cybersecurity, and personnel safety.

My Contribution

  • Originated the core project idea
  • Contributed significantly to developing and refining the project concept
  • Supported system architecture and technical solution design
  • Contributed to research, documentation, and presentation preparation

YZTA Bootcamp Team 49

A collaborative Python project developed using Git branches, pull requests, code reviews, and automated tests.

My Contributions

  • Contributed to variance analysis functionality
  • Implemented and tested the diagnose_axes feature
  • Worked with team-based GitHub development processes
  • Used unit tests to verify functionality and edge cases

View Project


Mental Health Risk Prediction

A machine learning project developed using a dataset containing more than 290,000 records.

  • Data preprocessing
  • Feature engineering
  • Machine learning pipelines
  • Model training and evaluation

View Project


YZTA 2026 Datathon Analysis

A machine learning project focused on predicting performance scores using lifestyle and behavioral data.

  • Exploratory data analysis
  • Feature engineering
  • Machine learning model development
  • Model evaluation

View Project

Technical Skills

Programming Languages

Python Dart C# PHP SQL

Data Science and Machine Learning

Pandas NumPy Scikit-learn Matplotlib Jupyter Notebook

Mobile, Web and Database

Flutter HTML CSS MySQL Oracle

Tools and Software Development

Git GitHub Visual Studio Code Unit Testing

Selected Education and Certifications

  • Google Advanced Data Analytics Capstone
  • The Nuts and Bolts of Machine Learning
  • Regression Analysis: Simplify Complex Data Relationships
  • The Power of Statistics
  • Go Beyond the Numbers: Translate Data into Insights
  • CCNA: Introduction to Networks
  • Python Programming
  • Object-Oriented Programming
  • Git and GitHub
  • Oracle Database Management
  • Introduction to Cybersecurity

Contact

Pinned Loading

  1. utkumtin/YZTA-Bootcamp-Team-49 utkumtin/YZTA-Bootcamp-Team-49 Public

    Python 1 1

  2. technology-mental-health-risk-app technology-mental-health-risk-app Public

    Machine learning and Streamlit application exploring how technology usage and lifestyle habits relate to mental health risk.

    Jupyter Notebook

  3. yzta-datathon-cognitive-performance yzta-datathon-cognitive-performance Public

    Machine learning project for predicting cognitive performance scores using lifestyle and demographic data.

    Jupyter Notebook

  4. opencv-pillow-image-processing-app opencv-pillow-image-processing-app Public

    Flask web application for comparing image-processing operations implemented with OpenCV and Pillow.

    Python

  5. mental-health-risk-prediction-app mental-health-risk-prediction-app Public

    End-to-end machine learning and Streamlit application for mental health risk prediction using 292,000+ records.

    Python

  6. barbershop-content-management-system barbershop-content-management-system Public

    PHP and MySQL content management system for managing barbershop services and hairstyle models through an administrator panel.

    PHP