Serkan Kaya, Ph.D.

Senior Pricing Data Scientist at By Miles

Owned and maintained BAU pricing models; led development of ML-based pricing models to improve loss ratio, revenue, and customer segmentation; designed and productionised annual mileage models to optimise pricing accuracy; conducted immobiliser impact analysis across customer segments; designed and implemented an internal search chatbot using LangChain with a Streamlit UI; developed GenAI solutions using LLM RAG and AWS Bedrock for claims classification.

Machine Learning Engineer at DeepSynaps

Designed and developed LLM RAGs in AWS Bedrock for document search; implemented search chatbots with LangChain orchestration using OpenSearch Serverless and LLM RAG with a Streamlit interface for document tagging.

Data Scientist at Rooster Insurance

Developed end-to-end fraud detection ML pipelines and models for car parking, location tracking, and mileage from telematics data, reducing manual workload by 30% and saving over £100k; created and deployed car MOT prediction and car price valuation models integrated into mobile app and insurance panel; led MLflow-based model management; migrated telematics pricing and underwriting algorithms; built APIs with FastAPI/Flask; created dashboards with Looker/Tableau.

Data Scientist at InfoMerge

Led data analytics and business reporting; developed web scraping and NLP models; managed test data and anonymization; utilized SQL for database management.

MLOps Bootcamp Participant at Miuul

Completed MLOps bootcamps focusing on virtual machines, Linux, Git/GitHub, Docker, Docker-Compose; worked with AWS services (IAM, S3, EC2), MLflow, MinIO, AWS S3; deployed ML models, built APIs with FastAPI and SQLAlchemy; created CI/CD pipelines with Jenkins; practiced model serving on AWS EC2 and VMs.

Data Science & Machine Learning Bootcamp Participant at Miuul

Participated in bootcamps covering customer revenue prediction, churn, segmentation, recommendation systems, and A/B testing; hands-on experience with model deployment and evaluation.

Scholarship Recipient at Udacity

Predictive Analytics for Business Nanodegree; completed projects on demand forecasting, credit default risk, menu A/B testing, and customer segmentation.

Laboratory Manager, Quantum Machine Learning Group at University of Oxford, Department of Materials

Managed research lab operations; supported quantum machine learning projects and cross-disciplinary collaborations; oversaw experiments and data workflows.

Cleanroom Process Engineer at Quantum Engineering Technology Lab, School of Physics, University of Bristol

Supported cleanroom processes and nano-fabrication activities; collaborated on quantum materials and device fabrication projects.

Research Assistant (PhD Graduate) at Interdisciplinary Laboratory Carnot de Bourgogne, University of Burgundy

PhD-related research in photo-thermal control of surface plasmon mode propagation at telecom wavelengths; assisted in experimental design and data analysis.

Research Associate at INSYST Integrated Nanosystems Research Lab, Florida International University

Contributed to nanosystems research projects; conducted experiments and data analysis in materials science.

Machine Learning Engineer at DeepSy naps

Designed and developed LLM RAGs in AWS Bedrock for document search; Implemented search chatbots with LangChain orchestrating OpenSearch Serverless and LLM RAG with a Streamlit interface for document tagging.

Laboratory Manager, Quantum Machine Learning Group at University of Oxford

Managed lab operations and research activities in quantum machine learning, interfacing with physics and materials science teams; supported experimental workflows and data pipelines.