Dylan McIntosh Data Scientist

Hi! I'm a Data Scientist completing my Masters in Electrical Engineering and Computer Science at Chapman University, with a focus on Data Science and Machine Learning. My graduate studies have given me deep expertise in Machine Learning fundamentals while exploring specialized areas like Bayesian Statistics and Generative AI.

While pursuing my degree, I've actively sought opportunities to apply my skills in real-world settings. This drive led me to contract work with companies like Pushbutton AI and MindReel, where I've tackled production-level challenges and delivered impactful business solutions. Additionally, my internship at Mercury Insurance and research work with MIT Postdoctoral Researcher, Dr. Nancy Tsai, have provided valuable experience in enterprise-scale data science applications.

My journey has evolved from academic projects to solving complex business challenges - from enhancing Mercury Insurance's risk models to building real-time AI systems and driving data-informed decisions through Bayesian analysis. These experiences have honed my ability to quickly adapt and master new technologies as needed, whether it's web development, cloud computing, or software engineering best practices. Working directly with clients has further developed my skills in translating business needs into technical solutions, making me a versatile and pragmatic Data Scientist.

My combined academic and practical experience has shaped my philosophy: focus on delivering meaningful solutions that create real business value, not just technical sophistication. I'm excited to continue growing as a Data Scientist and contributing to projects that make a tangible impact!