Data scientist at Turkey's fifth-largest bank. Experienced in financial data analytics in payment systems (credit cards & POS) and location-based analytics. MS candidate in Geomatics Engineering. Studied in Spatial Information Systems, Spatial Data/Spatial Data Analytics and Databases, Cartography, Web Mapping and Data Visualization.
-Data mining using state-of-the-art methods
-Processing, cleansing, and verifying the integrity of data used for analysis
-Extending the company’s data with third party sources of information when needed
-Doing ad-hoc analysis and presenting results in a clear manner
-Selecting features, building and optimizing classifiers using machine learning techniques
Spintek Communication Inc.
Aug 2018 - Jan 2019 (5 months, 1 day)
- Support pre-sales and aftersales activities related to fiber services
- Taking ownership of customer issues reported and seeing problems through to resolution
- Monitoring network and working with other departments to solve problems
- Prepare accurate and timely reports for tickets, providing RFO to customers.
- Prepare offers for products (infrastructure and devices)
- Making cost analyses for services and products
- Updating inventory of network infrastructure
Istanbul Teknik Üniversitesi, Turkey 2017 - 2019
Yildiz Teknik Üniversitesi, Turkey 2012 - 2016
Machine Learning for Marketing in Python
Foundational tools to improve a company’s marketing strategy. How to use different techniques to predict customer churn and interpret its drivers, measure, and forecast customer lifetime value, and finally, build customer segments based on their product purchase patterns.
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
SQL for Explotary Data Analysis
SQL to understand the characteristics of data sets destined for data science and machine learning.
Indoor data standards in the context of indoor navigation
International Symposium on Applied Geoinformatics (ISAG)
In this paper, the key features of indoor space, similarities, and differences between interior and exterior, and the requirements of indoor data standard has examined.