Getir

• Responsible for end-to-end process of creating and deploying recommender models, working closely with stakeholders to ensure optimal performance and continuous improvement with custom KPIs and A/B testing.
• Implemented matrix factorization model with LightFM to enhance the product details page with more relevant product recommendations.
• Built offline evaluation library for recommender systems that enabled faster iterations of recommendation engines.

Getir

• Developed and deployed a job recommender model in production utilizing NLP topic modeling that serves 20000 customers daily accelerated by NVIDIA Rapids for text preprocessing and inference.
• Built a SOTA double machine learning (causal inference) pipeline that delivers highly accurate estimates of price elasticity, allowing for more effective pricing optimization and promotion offers.
• Created Tableau dashboard that is updated by live model for decision making by pricing team.
• Developed optimization model for courier shift assignment resulting in $500.000 annual savings.
• Tools: Python, FastAPI, AWS SageMaker, MongoDB, SQL, RedShift, S3, Airflow, MLflow

IUI LAB, KOÇ UNIVERSITY

• Researching AI supported presentations with Prof. Metin Sezgin.
• Deployed Pytorch model to production for handwriting recognition and classification.
• Improved app fluidity with JavaScript by reducing repetitive API calls.
• Implemented unit tests for full functionality coverage, created CI/CD pipeline.
• Created pipeline for pre-processing drawing data, training and optimizing SVM model and logging results.
• Tools: Python, JavaScript, Pytorch, Scikit-learn, python-pptx

• Created a web application that retrieves and sends authentication codes to our sales force in real-time.
• Implemented employee skills vectorization for clustering in gamification project.
• Created a Java app that reads data stored on Excel documents and transfers them to JSON.
• Transformation and data processing on more than 1200 clients unstructured data.
• Contributed to pre-processing step of ML project for credit risk scoring. Tools: Python, Java Spring, React Js.
• Tools: Java, Python, MongoDB, SQLite, Swing, React

Microsoft

• Created projects using Azure Cognitive Services (Vision, Text analytic, Search API, ML).
• Received mentorship, attended to variety of courses about Azure Services.
• Tools: C#, Python, Azure Services

Mayadem

• Developed a 2D Android platformer game using C# and Unity.
• Tools: C#, Unity

Languages and Databases

Python

Java

MySQL

PostgreSQL

C

Bash

Libraries

NumPy

Pandas

scikit-learn

matplotlib

XGBoost

OpenCV

Apache POI

Frameworks

Django

Spring

React

Other

Git

AWS

Docker