I am a Computer Engineer with over 11 years of experience in system integration, software testing, technical support, data validation, reporting, and Business Intelligence environments.

I am currently transitioning into Data Analytics and Business Intelligence, combining my engineering background with SQL, Power BI, Python, and business-focused data analysis.

My portfolio focuses not only on writing queries and building dashboards, but also on turning data into business insights and actionable recommendations.

• SQL & MySQL
• Power BI & Data Visualization
• Data Analysis & Reporting
• Business Intelligence
• Data Validation & Root Cause Analysis
• Excel
• Git & GitHub

• Python for Data Analytics
• pandas
• Jupyter Notebook
• Customer & E-commerce Analytics
• Business and Product Metrics
• KPI Analysis

An end-to-end SQL and Power BI portfolio project using the MySQL Sakila database to analyze customer behavior, revenue, store performance, segmentation, and rental activity.

Highlights:

• 27 business-focused SQL analyses
• 11 core analytical business questions
• Business Question → Analysis → Insight → Recommendation framework
• Customer segmentation and lifetime value analysis
• Revenue concentration and performance analysis
• CTEs, window functions, NTILE(), LAG(), views, and aggregations
• Executive and Customer Analytics Power BI dashboards
• Reusable reporting views and validated CSV outputs

View Project

A business-focused analytics project using the Brazilian Olist e-commerce dataset.

The project explores customer behavior, order performance, delivery operations, and data quality using SQL, with further analysis planned using Python and Power BI.

Current focus:

• Data quality validation
• Customer-level analysis
• Order status and operational performance
• Repeat customer behavior
• Exploratory data analysis
• Business questions and KPI development

View Project

A structured learning repository documenting my progress in Python and pandas for data analytics.

Topics include:

• Python fundamentals and data structures
• Conditional logic and loops
• Business calculations
• pandas DataFrames
• Data filtering and aggregation
• Summary statistics and dataset inspection

View Project

My previous engineering experience includes working with large-scale systems, troubleshooting production issues, validating data, preparing reports, and communicating findings across technical and business teams.

I am now applying that experience to analytics by focusing on:

• translating business questions into analysis
• identifying meaningful patterns in data
• communicating insights clearly
• supporting decisions with data

I am seeking opportunities as a:

• Data Analyst
• Business Intelligence Analyst
• Reporting Analyst
• Junior Business Analyst

I am particularly interested in roles where I can combine analytical thinking, SQL, reporting, and business problem solving.

📍 İzmir, Türkiye
🌍 Open to remote opportunities in Türkiye and Europe
🔗 LinkedIn