Joseph El Motto

Designed and delivered modular portfolio projects including an Interview Bot, Financial Advisor, Patient Education Agent, and a Multi-Agent Health System. Applied LLMs, LangChain, LangGraph, and RAG pipelines to demonstrate scalable architectures and deployment.

Evaluated live vehicle data streams to detect anomalies earlier, enabling faster issue resolution and more efficient validation workflows. Developed structured diagnostics that improved product quality and contributed to a measurable reduction in failure-related costs. Applied NLP techniques to automate duplicate ticket detection, significantly reducing manual review workload and accelerating resolution for engineering teams.

Pursued hands-on, project-based training in Data Science and BI Analytics with StackFuel, applying Python, SQL, and visualization tools to real-world case studies. Earned certifications as Project Management Associate (IPMA Level D) and Scrum Master I, building a solid foundation in both traditional and agile project management for data-driven initiatives.

Designed and built interactive dashboards in Tableau, SQL, and Palantir to analyze big data from customer vehicles, delivering insights on feature usage that shaped strategic product decisions. Leveraged big data on comfort, seating, and digital feature usage to generate insights that guided targeted enhancements to the in-car experience. Analyzed large-scale datasets from driver assistance systems (ADAS) to identify safety-critical performance gaps and recommend improvements.

Analyzed and validated large-scale camera and radar datasets from driver assistance systems (ADAS) Built, maintained, and operated automated test environments, including HiL systems Developed Python-based automated test cases Created dashboards and statistical reports Optimized in-vehicle functionalities such as navigation systems Defined and refined test strategies across multiple projects