Arda KAYMAZ

I’m a Data Scientist with over five years of experience in data analytics, statistical modeling, and time-series analysis, along with more than a year of hands-on work in AI, deep learning, and large language models (LLMs). I started my career in statistical and quantitative genetics, completing an MSc where I analyzed survivability and adaptability traits in animals using advanced statistical methods. Although based on real populations, my findings offered broader insights into over 64,000 animal species, and led to four academic publications and international conference presentations.

At Family Farm, I led a full-cycle R&D project aimed at improving sustainability and productivity. I applied statistical techniques such as ANOVA, REML, and GLMs to breed improved animal generations, boosting production by 32% and reducing feed costs by 25%. This experience helped me integrate research-driven thinking with real-world business outcomes.

Most recently, I worked as a Data Scientist at Miuul, where I helped develop an LLM-based technical support chatbot designed for educational bootcamp users. My role involved fine-tuning pre-trained models, implementing Retrieval-Augmented Generation (RAG) for accurate and context-aware responses, and conducting LLM evaluation using BLEU and Exact Match metrics.

I’m passionate about solving complex problems, contributing to innovative projects, and continuously learning new technologies. I enjoy working in collaborative, research-oriented environments where I can make a meaningful impact—both technically and strategically.