Halil İbrahim Ergül Email & Phone Number

Istanbul, Turkey

İstanbul, Türkiye

search algorithm

• Created data pipelines with BigQuery, automation and scheduling, dashboards for gaming analytics to analyze user interactions in real-time to offer personalized content and advertisements.• Performed extensive data analysis/visualizations and applied methods of classification to generate campaign and customer insights using events (in app and gaming) data• Clustering users and building ML pipelines for modeling and predicting user behaviour• Statistical in-depth modeling and analysis of gaming data coming from users.• Utilizing statistical methods to analyze and interpret data, and effectively communicate findings to stakeholders• Worked closely with Product & Marketing & Growth teams for AB testing and custom KPIs reporting

İstanbul, Türkiye

Integrating cutting-edge AI models to business products• Web Scraping for preparing training data (via Scrapy/Selenium/Bs4)• Effectively integrating an LLM assistant into backend for user interaction• Data collection and preperation for training a sound model (TTS models) and training it• Forming a data pipeline (inference) for sound generation with AI models• Worked on end-to-end lifecycle of developing, evaluating, and deploying machine/deep learning models

Tuzla, İstanbul, Türkiye

- Currently working in Behaviroual Analytics Lab(http://analyticslab.sabanciuniv.edu/) for my dissertation on fine-tuning an open-source LLM on customer data for recommendation- Worked on a NLP deep learning project supported by TUBITAK- TA: Computational Approaches to Problem Solving- TA: Data Science Fundamentals

Advanced Quantitative Methodologies (INTL 601)Hands-on experience on: - Generalized Linear Models (GLMs)- Temporal models- Time-series–cross-section (TSCS)Automated Text Processing (NLP) (CSSM 530)- Completed project on integrating sentiment analysis and topic modeling on Amazon product reviews- Hands-on experience in constructing a Neural Network model for sentiment classificationCONSUMER BEHAVIOR (MKTG 302 / PSYC 335 (02))-Reviewing major theories and empirical findings on consumer behavior; relating them to the design and execution of effective marketing strategy

Master Of Science - Ms, Data Science

Merit-based scholarship Highlighted advanced courses: Machine Learning Methods of Statistical Inference NLP Engineering Optimization Deep.

Bachelor Of Arts - Ba

Graduated with high honors. Concentration on statistics, data analysis and quantitative methodologies