Intern · Data Analytics & Artificial Intelligence
At Turkcell Data Analytics & AI, I worked with data analytics tools and contributed to AI project development, building functional prototypes at the intersection of frontend and AI.
- Date
- Jul 2025 – Sep 2025
- Location
- General Directorate Kucukyali Maltepe, Istanbul Turkey
- Scope
- AIResearchData AnalyticsPrototype
- Technologies
What I Learned
- Learned ETL concepts and Data Warehouse basics.
- Installed and used Docker, and learned Kubernetes fundamentals.
- Improved SQL skills for data analysis.
- Understood AppOps responsibilities: monitoring, logs, alerts, and dashboards.
- Learned tools like Grafana, Prometheus, Ab Initio, and Airflow.
- Gained knowledge of LLMs and NLP basics.
- Learned prompt engineering and ranking methods.
- Understood embeddings and database search logic.
- Researched text-to-visualization methods.
- Learned professional Git commit writing with Conventional Commits.
- Researched best practices for clean React code and applied refactoring in Mingle project.
- Learned what ESLint and Prettier are, and built a small Todo App to practice clean code rules with them.
- Prepared research during internship that I later used in 'Graphe', a text-to-charts/table application.
- Learned Agile, Scrum, and Kanban concepts.
- Improved teamwork, fast thinking, and responsibility-taking skills. Joined stand-up daily meetings.
- Expanded my network by meeting other teams, improved communication skills, and learned to adapt to different team cultures.
My Contributions
Text To Chart
Text-to-Chart/Table teknolojilerini araştırdım ve örnek bir storyboard projesi yaptım.