I am Nathan Goldhardt, an accomplished Business Intelligence Engineer and Lead Data Scientist, known for blending advanced data analytics and strategic problem-solving to address complex business challenges. Holding Bachelor's degrees in Applied Mathematics and Economics from the University of Utah, I am currently enhancing my expertise with a Master’s in Applied Data Science at the University of Michigan, expected in July 2024. Proficient in Python, SQL, Power BI, Snowflake, and now delving into Machine Learning and Large Language Models, I excel in driving data-driven decisions that underpin organizational success.
My experience ranges from streamlining data processes with Apache Airflow to architecting scalable Snowflake Data Warehouses, demonstrating a track record of leading projects that significantly enhance operational efficiency. My passion lies in leveraging data to uncover actionable insights, driving innovation and growth. With a keen interest in the transformative potential of generative AI, I am enthusiastic about contributing my technical prowess, strategic insight, and proactive leadership to a team that values creativity, efficiency, and a data-centric approach to problem-solving. I am particularly drawn to opportunities where I can apply my skills to develop AI-driven solutions that empower businesses and individuals alike, in line with Microsoft's mission to achieve more.
Key Responsibilities:
92Y (Unit Supply Specialist):
11C (Indirect Fire Infantryman):
74D (Chemical, Biological, Radiological, Nuclear Specialist - CBRN):
USASOC Jumpmaster 2021:
Hazmat Technician 2015:
35L (Military Intelligence Counter Intelligence)