Curtis Neiderer
Machine Learning Engineer at SYSTEMS & TECHNOLOGY RESEARCH
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolCurtis Neiderer is a Machine Learning Engineer with 11 years of experience building end-to-end data products, from data acquisition and cleaning through modeling, experimentation, and production deployment. He has applied statistical and ML techniques across defense and aerospace domains to develop forecasting, anomaly detection, and classification algorithms that improved operational decision-making. Curtis has a track record of re-architecting legacy scientific code into modern Python pipelines and automating analysis workflows to shrink turnaround from days to hours. He blends an electrical engineering foundation with an MS in Data Analytics Engineering to tackle both signal-processing and higher-level data problems. Colleagues rely on him to translate complex test data into actionable models—often integrating ensemble and probabilistic methods—to suppress noise and enhance classifier performance. Based in Greater Boston, he’s the kind of “data guy” who enjoys digging into messy real-world datasets and shipping robust, reproducible solutions.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at Penn State UniversityMaster of Science - MS, Data Analytics Engineering, Master of Science - MS, Data Analytics Engineering at Northeastern University
English
Stackoverflow
3reputation
153reached
0answers
1question
Github Skills (4)
trend9
javafx6
combobox6
java6
Programming languages (1)
Github contributions (5)
cneiderer/Neiderer_Metis
Jan 2018 - Apr 2018
Contributions:200 pushes, 8 branches in 2 months
cneiderer/matlabTools
Aug 2014 - Aug 2014
Contributions:10 commits in 1 day
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