Yassir Elrayah

DATA SCIENTIST | AI & MACHINE LEARNING | GENAI | GEOSPATIAL ANALYTICS | MARKETING SCIENCE

I am a Data Scientist with 15+ years of experience transforming complex data into actionable business insights through artificial intelligence, machine learning, statistical modeling, and geospatial analytics. Throughout my career, I have developed scalable data science solutions across the automotive, marketing, transportation, telecommunications, and retail industries, enabling data-driven decision-making that delivers measurable business impact.

Most recently, I served as a Senior Data Scientist at Domino's Pizza, where I developed Bayesian Marketing Mix Models (MMM), causal inference frameworks, demand forecasting solutions, customer segmentation models, and GenAI-powered analytics applications to optimize marketing investments and improve business performance. Previously at General Motors, I built enterprise-scale machine learning and geospatial analytics solutions using connected vehicle telemetry data, processing billions of vehicle events to improve road safety, customer experience, insurance analytics, and operational efficiency while supporting GM's vision of zero crashes, zero emissions, and zero congestion.

My technical expertise spans machine learning, deep learning, generative AI, marketing science, causal inference, forecasting, geospatial data science, and large-scale analytics. I specialize in Python, SQL, Spark, PySpark, Databricks, Azure AI, Scikit-learn, Pandas, GeoPandas, XGBoost, Tableau, Power BI, and modern AI frameworks including LangChain and CrewAI. I enjoy building production-ready AI solutions that combine advanced analytics with practical business value.

I hold a Ph.D. in Technology (Geospatial Information Systems) from Eastern Michigan University, an M.S. in Computer Science from the University of Detroit Mercy, and an M.S. in Transportation Engineering from Wayne State University. My doctoral research focused on connected vehicle analytics, geospatial machine learning, and traffic crash prediction. I have authored multiple peer-reviewed publications, presented at national and international conferences, and hold a U.S. patent related to connected vehicle technologies.

I am passionate about applying AI and data science to solve challenging real-world problems, mentoring technical teams, and collaborating across disciplines to build innovative, scalable, and impactful analytics solutions. I welcome opportunities to connect with fellow data scientists, researchers, engineers, and industry leaders who share an interest in advancing AI, machine learning, geospatial analytics, and data-driven decision making.