Summary
Joseph Gordon is a data scientist with a Master's in Analytics and 13 years of technical experience, currently building geospatial intelligence and network routing solutions at LMI using pandas, PySpark, and Spark optimization techniques. He combines an electrical engineering background with hands-on ML work—developing time-series models, optimization programs within Palantir and Advana, and partitioned Spark pipelines to speed compute-heavy tasks. Comfortable across ELT/ETL, Azure, Python and C++, he has applied RF test engineering rigor from defense contracting to production data problems. Beyond engineering, he tutors part-time, reflecting strong communication and mentorship skills that complement his technical depth. Notably, he blends low-level systems thinking from electrical engineering with scalable data-platform design, making him effective at translating complex datasets into actionable, optimized solutions.
12 years of coding experience
1 year of employment as a software developer
Electrical Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electrical and Electronics Engineering at University of Cincinnati
Master's degree, Analytics, Master's degree, Analytics at University of Dayton