Building intelligent systems with data science, automation, and a growing focus on network intelligence.
I am a final-year Information Systems Engineering student focused on data science, machine learning, and the practical use of AI in software and network-aware systems. My long-term direction is Network Intelligence, AIOps, and Edge AI, while my current hands-on foundation is Python, machine learning, software projects, and networking basics.
A practical builder with a research-minded workflow.
I work on projects that connect data, software, and real-world systems. My current strength is building usable prototypes with Python, ML, FastAPI, Flutter, Git, and Jupyter-based analysis. My next step is applying these skills to Edge AI, network monitoring, anomaly detection, and AIOps-style workflows.
EDA, prediction, model evaluation, visualization, and report-ready outputs.
End-to-end prototypes using Python, FastAPI, Flutter, C#/.NET, Git, and GitHub.
Hands-on internship experience with cabling, switches, routing/switching basics, and telecom systems.
Network Intelligence, AIOps, and Edge AI as a career direction: making infrastructure more observable, predictive, and intelligent.
Selected work and project direction.
Hover over a project to focus it. Open details to understand the problem, solution, technologies, and how it should be presented on GitHub.
Technical foundation.
Data Science
- Python
- Pandas, NumPy
- Matplotlib
- Scikit-learn
Machine Learning
- EDA & preprocessing
- Random Forest, KNN
- Regression & classification
- Anomaly detection basics
Software
- FastAPI
- Flutter
- C# / .NET Core
- React / Next.js
Network & Tools
- Cisco basics
- Routing & switching
- Git / GitHub
- Linux shell, PuTTY
Hands-on internships and research-style training.
IT & Network Intern — Muğla Sıtkı Koçman University
Worked with fiber infrastructure, switch maintenance, cabling, camera systems, and campus IT/network support.
Network Intern — Dokare Teknoloji
Practiced Cisco Packet Tracer, routing and switching concepts, and observed telecom/network operations.
Intro2Astro 2026
Completed research-style assignments using Unix shell, Git, Python, Matplotlib, NASA Exoplanet Archive, and TESS light curve analysis.
Open to internships, entry-level roles, and project collaboration.
Best fit: Data Science, Machine Learning, AI Engineer trainee/junior roles, and network-aware AI projects.
Email: emregoktugturk@gmail.com