Ece Dalpolat

Owned the dbt transformation pipeline and LangChain/LangGraph agents for enterprise clients. Built production AI microservices and an agent API gateway, reducing LLM spend and improving evaluation scores.

Delivered weekly lectures on data science and machine learning, guiding participants through real-world case studies and hands-on projects. Mentored participants on the Deep Learning to AI Agents track.

Collected and processed data across honey value chains; developed and optimized deep learning models and built API integrations for external systems.

Taught graduate-level data science and machine learning courses, designed assessments, and delivered technical feedback. Engineered features from consumer-behavior data and built scikit-learn classification models tuned with swarm-intelligence optimization.

Built automated test suites with Selenium and TestComplete; performed manual testing to validate functional requirements.

Developed scalable software components in Java and SQL within a national research environment.

Built data-driven web applications with ASP.NET MVC, C#, and SQL Server.

Grade: 3.57

Pursuing an MSc in Information Technologies with a focus on Data Science. Thesis on classification of payment method preferences using a hybrid optimization model, achieving 70% accuracy.

Completed a Bachelor of Science in Software Engineering.

Earned the HCCDA-AI certification as a Huawei Certified Developer Associate in AI.

Completed a Data Scientist Bootcamp covering Machine Learning and Generative AI.

Completed a course on LangChain and RAG.

Completed an Applied SQL course.