Caleb Goertel is a Senior Data Scientist with six years of industry experience applying analytics across defense, automotive, and media measurement sectors. He progressed through data science roles at Nielsen—culminating as Lead Data Scientist—and now leads modeling efforts at LIFELENZ, combining production ML, big-data tooling, and domain-focused experimentation. Caleb’s background includes building extensible connected-vehicle analytics platforms at Ford using Spark, Python, and Hadoop, and translating complex datasets into actionable customer and operational insights. He’s motivated to collect diverse technical and leadership experiences across industries and geographies, and is pursuing advanced CS studies at Georgia Tech to deepen his systems and software expertise. Notably, he blends hands-on project delivery with a track record of directing scope-to-delivery analytics projects, making him effective at turning exploratory models into repeatable production solutions.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science (BS) Industrial Systems Engineering / Computational Modeling & Data Analytics, Bachelor of Science (BS) Industrial Systems Engineering / Computational Modeling & Data Analytics at Virginia Tech
A collection of my autosplitter scripts for LiveSplit.
Contributions:1 review, 21 pushes in 3 years 7 months
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