Burak Elevli

Data Scientist @Kyu Collective

London, GB

Engineering a full-stack RAG-enabled LLM app (in progress) with agentic function calling, integrating data from 20+ companies to deliver cross-company insights.Led & built end-to-end the Collective’s first natural-language (NLP) people search (no prior system): designed embeddings/retrieval & prompts, trained models on AWS GPUs (Python), and deployed to production. Used by 2500+ users across 20+ companies, replacing word-of-mouth with one search.Led & built end-to-end the Resource Library (NLP) search (no prior system): trained/tuned models on AWS GPUs (Python) and optimized retrieval to surface case studies, pitches, and best practices for global teams, accelerating proposal and delivery cycles.Optimized the NLP pipeline with fine-tuning and GPU-adapted code on AWS, cutting training time 30% to 50%; deployed as a scalable Flask app with Git.Built executive BI reports in Looker using Python & SQL; deliver and present monthly insights to the C-suite.Performed QA across the stack, from data-layer validation to front-end usability and design consistency.Automated taxonomy pipelines using OpenAI API and prompt engineering in Python to label and organize large datasets.Managed monthly data reviews for kyu companies to keep warehouse records accurate, then automated the process in Google Sheets with App Script/macros—cutting overall team workload from 33% to 20%.

TED Samsun College

High School Diploma, Mathematics

Özyeğin University

Bachelor's degree, Industrial Engineering

London South Bank University

Master of Science - MSc, Data Science