Can Akkuş
Maastricht, Netherlands
Summary
Data science and AI student with hands-on experience in developing machine learning pipelines and conducting exploratory data analysis. Proficient with cloud-native analytics tools, including Google Cloud Platform, to enhance project outcomes. Collaborative team player adept in agile environments, integrating innovation and analytical problem-solving.
Overview
1
1
Certification
1
1
year of professional experience
Work History
Intern
Global IT
Istanbul, Turkey
01.2026 - 02.2026
- Data Analysis & Visualization: Developed exploratory data analysis pipelines on datasets using Pandas, NumPy, and Seaborn to handle missing values and visualize data distributions.
- Machine Learning Pipelines: Analyzed end-to-end ML workflows, focusing on data preprocessing, outlier detection, model selection, and hyperparameter tuning.
- Cloud & Business Intelligence: Evaluated cloud data ecosystems, exploring Google Cloud Platform tools including BigQuery, Vertex AI, and Looker for business intelligence integration.
- AI Architecture & MLOps: Researched MLOps processes, Model Context Protocol, and multi-agent system orchestration to understand scalable AI deployment.
- Version Control & Environment Setup: Managed development workflows using Git/GitHub for branching and history, configuring standard environments.
Intern
Tiryaki Agro
Istanbul
01.2025 - 02.2025
- IT Infrastructure & Operations: Gained foundational exposure to corporate IT department workflows, observing day-to-day network operations, system administration, and data management practices.
- Cross-Functional Shadowing: Shadowed senior IT professionals and engineers to understand agile project methodologies, ticketing systems, and enterprise software deployment.
- Technical Troubleshooting: Assisted in basic hardware/software troubleshooting, learning how corporate environments maintain security and system uptime.
- Professional Workflow Integration: Adapted to enterprise communication standards, technical documentation review, and collaborative team environments.
Education
Bachelor of Science - Applied Data Science & Artificial Intelligence
Zuyd University of Applied Sciences
Maastricht, Netherlands07-2029
High School Diploma - Science Track
Validebağ Science High School
Istanbul, Turkey06-2024
Skills
- Machine learning pipelines
- Cloud platforms: Google Cloud Platform (GCP), BigQuery
- Programming languages: Python, Java
- Data structures and algorithms
- Version control: Git, GitHub
- Data visualization techniques
- Data visualization
- Agile collaboration
- Software development methodologies
- Object-oriented programming
- Analytical problem-solving: Data-driven troubleshooting
- Learning new technologies
Certification
- Steam Robotics and Coding Program
- Data Science Crash Course
- TÜBİTAK Research Participant - ARDEB 1001 Project: High School Youth as Potential Immigrants: Trends, Strategies, and Expectations Towards Immigration
- Model United Nations (MUN) - Delegate in International Conferences
Timeline
Intern
Global IT
01.2026 - 02.2026
Intern
Tiryaki Agro
01.2025 - 02.2025
Bachelor of Science - Applied Data Science & Artificial Intelligence
Zuyd University of Applied Sciences
High School Diploma - Science Track
Validebağ Science High School