Yusuf Caymaz

Computer Engineering Undergraduate & Data Science Enthusiast

Passionate about turning data into insights and building intelligent solutions. Recently graduated with expertise in Machine Learning, Big Data, and Software Engineering to create innovative applications.

Explore My Work

About Me

A Computer Engineering Undergraduate passionate about data-driven solutions and emerging technologies

Background & Expertise

I am a Computer Engineering undergraduate with a strong foundation in programming, having completed coursework in C#, Java, Python and C. I have developed expertise in Machine Learning, using tools such as Python, Matplotlib, Seaborn, TensorFlow, PyTorch, Scikit-learn, and Numpy.

I have gained experience in Data Science by working with Apache technologies like Airflow, Kafka, alongside databases such as PostgreSQL and MySQL. I am also exploring containerization techniques through Docker to streamline my projects.

Python Django Java Spring Framework TensorFlow PyTorch Scikit-learn Pandas Numpy Matplotlib Seaborn PostgreSQL Docker Apache Airflow Apache Kafka

Education & Languages

Bachelor of Science in Computer Engineering
Iskenderun Technical University, Hatay
GPA: 3.22/4.00
Graduated: 2025

Languages

English: B1 Level

What Drives Me

  • Building intelligent systems that solve real-world problems
  • Exploring the latest trends in AI and Machine Learning
  • Creating scalable data pipelines and analytics solutions
  • Contributing to open-source projects and the tech community
  • Continuous learning and skill development

Professional Experience

My journey through practical experience and real-world applications

Software Developer
DeepTech Mühendislik Tic. Ltd. Şti., Hatay
February 2025 - June 2025
Working on a Kafka-based project developing real-time data streaming solutions. Implementing Apache Kafka for high-throughput, fault-tolerant messaging systems. Contributing to the design and development of scalable data pipelines and event-driven architectures for enterprise applications.
IT Intern
Gaziantep University IT, Gaziantep
July 2024 - August 2024
Developed an innovative C# application that automated the university's data processing workflow. The system reads optical reader-generated .txt files, performs automated grading, and converts data into structured faculty-department.xlsx files. This solution significantly improved efficiency by reducing manual processing time and eliminating human errors in data entry.

Featured Projects

Showcasing my technical expertise through innovative solutions

Customer Churn Analysis

Developed a comprehensive customer churn prediction system using a dataset of customer records. The project implements a complete data science pipeline: MongoDB data storage, advanced preprocessing techniques, machine learning model training with cross-validation, and interactive visualization dashboards for business insights.

Python MongoDB Machine Learning Data Analysis Business Intelligence Predictive Analytics

Stock Price Predictor

Built a sophisticated Time Series forecasting application using LSTM neural networks to predict stock prices. The system analyzes Apple's historical stock data (2010-2020) and provides accurate price predictions. Features include interactive data visualization, custom CSV/Excel file upload capabilities, and real-time analysis tools for personalized financial insights.

Python LSTM TensorFlow Time Series Data Visualization Financial Analytics

Certificates & Achievements

Professional certifications demonstrating my commitment to continuous learning

Tools for Data Science
IBM
MongoDB CRUD Operations in Python
MongoDB
Data Analysis with Python
IBM
Data Science Methodology
IBM
Data Visualization with Python
IBM
Databases and SQL for Data Science with Python
IBM

Get In Touch

I'm always interested in opportunities, collaborations, and interesting projects

Whether you have a question about my work, want to discuss potential collaborations, or just want to say hello, I'd love to hear from you.

Email: yuscaymaz@gmail.com