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Ayşe B.
Data Engineer
Ayşe is an accomplished Data Engineer with over 11 years of experience in data engineering, statistical modeling, and advanced analytics. She has a proven record of developing and deploying predictive models for credit scoring, fraud detection, and forecasting, combining deep technical expertise with a results-driven approach.
Skilled in SAS Enterprise Guide, SAS Enterprise Miner, SAS Forecast Studio, Python, SQL, PL/SQL, Apache Airflow, and OpenShift AI, Ayşe builds efficient data pipelines and robust analytical solutions that translate complex data into actionable insights.
One of her most significant achievements was the development and deployment of credit scoring models for commercial customers, including the successful creation of Probability of Default (PD) scorecards) that enhanced risk assessment and decision-making accuracy.
Ayşe is recognized for combining technical excellence with strategic insight, consistently delivering data-driven value that supports business growth and operational efficiency.
Main expertise
- Microsoft Excel 11 years
- Data Analytics 10 years
- PL/SQL 5 years
Other skills
- ELT 5 years
- Team Leading 5 years
- Agile 3 years
Selected experience
Employment
Senior Data Scientist
Şekerbank - 9 months
- Designed and maintained data marts to support advanced analytics and enterprise reporting.
- Developed and deployed machine learning models using SAS Intelligent Decisioning (SAS ID) and OpenShift AI environments.
- Automated data workflows and model pipelines through Apache Airflow, improving efficiency and reliability.
- Utilized PL/SQL and Python for data processing, model scoring, and system integration.
Technologies:
- Technologies:
Kubernetes
- Data Science
NumPy
Pandas
SAS
Scikit-learn
- ELT
Apache Airflow
Random Forest
PL/SQL
- Red Hat OpenShift
- Data Quality
GitLab
Microsoft Excel
Expert Data Engineer
Enerjisa - 3 years 6 months
- Performed data preparation and cleansing to ensure high-quality inputs for analytics and reporting.
- Conducted data analysis and developed data marts to support the Advanced Analytics team.
- Utilized SAS Enterprise Guide for data manipulation and reporting and Apache Airflow for workflow automation.
Technologies:
- Technologies:
- Project Management
Python
- Data Science
-
NumPy
-
SAS
Agile
-
Scikit-learn
- ELT
-
Apache Airflow
- Data Analytics
- Team Leading
- Data Quality
-
Microsoft Excel
Model Development Manager
Qnb Bank - 2 years 9 months
- Developed and maintained credit scoring models for commercial customers, ensuring regulatory compliance and performance stability.
- Created scorecards for Probability of Default (PD) calculation and model validation.
- Leveraged SAS Enterprise Guide and SAS Enterprise Miner for statistical modeling and feature analysis.
- Utilized Toad, DBeaver, Python, and SQL for data extraction, transformation, and analysis.
Technologies:
- Technologies:
- Project Management
-
Python
SQL
- Data Science
-
Pandas
-
SAS
-
Scikit-learn
- Data Analytics
-
Random Forest
-
PL/SQL
- Team Leading
- Data Quality
-
Microsoft Excel
Instructor
Udemy - 7 years 10 months
- Instructs SAS Enterprise Guide courses in Turkish.
- Delivers training on SAS Enterprise Miner in Turkish.
- Conducts Base SAS sessions in Turkish.
- Teaches SAS Data Manipulation Techniques in English.
- Provides Linux training in Turkish through Udemy.
Technologies:
- Technologies:
Linux
- Unix shell
Education
Standalone courseData Science
Koç University · 2020 - 2021
BSc.Computer Engineering
İstanbul Kültür University · 2009 - 2014
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