Berlin, Germany

Engineering roots.
Data-driven direction.

Data Science Master's Student

I combine an Electrical and Electronics Engineering background with current studies in data science. My focus is practical work across data analysis, machine learning, cloud data pipelines, automation and energy systems.

Profile · 02

About me

I am currently completing an M.Sc. in Data Science at the University of Europe for Applied Sciences. Before moving into data, I studied Electrical and Electronics Engineering at Bahçeşehir University.

I am especially interested in projects where analysis, automation and real-world technical systems work together. I learn quickly, value clear teamwork and enjoy turning complex processes into structured, useful solutions.

Turkish · NativeEnglish · C1German · A2

Tools & fields · 03

Skills

A

Data & ML

PythonSQLPandasMachine LearningData AnalysisData VisualizationPostgreSQLPower BI
B

Cloud & workflow

AWSData EngineeringETL ConceptsCloud Data PipelinesGitHubJira
C

Engineering

SCADAPLC BasicsAutoCADMATLABProteusSolar EnergyTechnical Documentation

Selected work · 04

Projects

Machine Learning2026

Concrete Crack Detection

Built and evaluated a custom CNN and a MobileNetV2 transfer-learning workflow for binary concrete crack detection. Used accuracy, loss, confusion matrices and Grad-CAM to compare performance and inspect model attention.

PythonTensorFlowCNNMobileNetV2Grad-CAM
Machine Learning2026

AI Job Market Salary Prediction

Developed a reproducible regression workflow with imputation, one-hot encoding and scaling, then compared Linear Regression, Decision Tree and KNN models.

Pythonscikit-learnRegressionPreprocessing
Capstone2025

Smart Office Security System

Collaborated in a six-person team on a smart surveillance system integrating YOLOv5 detection with ESP32 notifications. Contributed to integration, testing, error handling and documentation.

PythonYOLOv5ESP32UARTTelegram APISMTP
Data Engineering2026

AWS Cloud Data Pipeline

Practiced ETL logic, S3-based storage, query workflows and cloud data-pipeline concepts through AWS Academy lab work.

AWSETLS3Cloud Pipelines

Professional exposure · 05

Experience

Jul — Sep 2024

Engineering Intern

Smart Solar Technologies · Istanbul

Supported automation and project-engineering work in solar energy projects. Gained hands-on exposure to SCADA, PLC fundamentals, AutoCAD, solar project planning, testing and troubleshooting.

  • Built a PLC-based traffic-light automation simulation.
  • Worked with technical documentation and industrial workflows.
  • Observed solar project implementation through office and site work.

Academic background · 06

Education

2026 — 2028

M.Sc. Data Science

University of Europe for Applied Sciences

Berlin / Potsdam, Germany
2021 — 2025

B.Sc. Electrical & Electronics Engineering

Bahçeşehir University

Istanbul, Türkiye

Continued learning · 07

Certificates

AWS Academy

Data Engineering

Graduate Training Badge · 2026

AWS Academy

Cloud Data Pipeline Builder

Graduate Training Badge · 2026

Duke University

Electric Industry Operations and Markets

Certificate · 2024

Bahçeşehir University

AI Summit 2024

Participation Certificate

Resume · 08

My experience, education and skills — in one concise document.

Download CV

Professional contact · 09

Let's connect.

For working-student opportunities, collaborations or project discussions.