Transforming complex datasets into clear, actionable insights. Specializing in Power BI, Python, and machine learning across manufacturing, retail, and logistics industries.
I am a Senior Data Analyst based in Istanbul with a dual engineering background — an M.Sc. in Industrial Engineering from the University of New Haven and a B.Sc. in Mechanical Engineering from Gaziantep University.
With experience spanning metallurgy, mobile technology, foreign trade, and logistics, I bridge the gap between raw data and strategic decision-making. I build Power BI dashboards, automate reporting pipelines, and develop machine learning models that drive measurable business impact.
My approach is rooted in Lean Six Sigma methodology — identifying inefficiencies, eliminating waste, and delivering quality improvements through data-driven analysis.
Applied K-Means clustering on mall customer data. Used elbow method to determine optimal cluster count and PCA decomposition to reduce dimensions and generate visualizations.
Preprocessed 30,000 client records with 25 features. Applied Logistic Regression, SVM, and MLP Classifier, achieving an 82.03% prediction accuracy rate.
Applied data cleaning, wrangling, and exploratory data analysis on the Titanic dataset. Deployed multiple ML algorithms to accurately estimate survival outcomes.
Collected GPS vehicle tracking data, performed outlier and input analysis using Minitab and Arena. Built a full simulation model on Simio software for logistics optimization.
Available for data analytics consulting, full-time roles, and freelance projects.