Ian Davis-Hoff

About Ian Davis-Hoff

I am a data professional specializing in end-to-end data solutions, combining experience in data engineering, BI development, and generative AI applications. In my current role, I build pipelines to extract structured insights from unstructured data, engineer features for customer attrition models, and design dashboards that guide marketing decisions and maintain brand reputation. I also developed automated pipelines to produce structured outputs for training internal Retrieval-Augmented Generation (RAG) models.Previously, as a BI consultant, I implemented large-scale ETL pipelines, automated reporting processes, and developed internal tools for data lineage, gaining expertise in scalable data solutions and analytics.I am currently pursuing a Master’s in Analytics at Georgia Tech to deepen my machine learning expertise and expand my ability to develop data-driven solutions.

Experience

1. Analytics Engineer

   IGS Energy

   Apr 2024 — Present · New York, NY, US

   Engineered end-to-end data pipelines to extract structured insights from of unstructured data using generative AI models- Constructed datasets and engineered features to support data scientists in developing customer attrition and retention models- Designed and implemented front-end BI dashboards and tools, to guide marketing strategies, maintain brand reputation, and identify patterns contributing to customer attrition- Developed an automated pipeline extract information from internal documentation, producing structured outputs train an internal Retrieval-Augmented Generation (RAG) model.

Education

• Georgia Institute of Technology

  Master of Science - MS, Analytics, Computational Data

• Stevens Institute of Technology

  Bachelor of Engineering - BE, Mechanical Engineering