Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3

I took part in a segmentation project where vehicle sales increased by 30 percent compared to the previous year.
I automated some of our time-consuming routine reports by using Python and SQL.
Together with my friends, we are developing an artificial intelligence-based Crypto trading bot!
I finished my master's degree with a real-time customer segmentation project!
Wunderman Thompson

- Taking part in customer segmentation, customer scorecard, and churn prediction projects using SQL, Python, Azure ML Studio in Coca-Cola's 'Daha Daha' application.
- Automating reports using SQL, Python, Excel and facilitating daily work.
- Build Power BI dashboards to visualize core business KPI's
- Updating the database with Google Analytics customer data using Big Query
- Analyzing and preparing data of sales, ad-hoc campaigns for Renault.
- Automation of daily reports with Python to create segmentation structure for automative sector clients providing data cleaning, data analysis, and preparation 
stages
- Data cleaning and preparation for customer segmentation
- Data extraction and Database update processes via SQL Server
- Preparing monthly dashboards and data visualization with Power BI

EY

- By using Alteryx, filtering and joining annual accounting records, reaching the provision accounts of these records, and adapting these records according to IFRS 17. 
- Developing a Pricing Premium prediction model on Python and Power BI by using Machine Learning algorithms.
- Calculation of PAA Eligibility test by using Python.