David Grethlein
Research Assistant at Drexel University
Philadelphia, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolDavid Grethlein is a research-focused data scientist and Drexel Computer Science PhD candidate with eight years of experience applying machine learning to real-world time series and behavior modeling problems. Based in Philadelphia, he combines academic research as a long-standing Research Assistant at Drexel with industry experience as a Data Scientist and brief data engineering work integrating Kafka, Cassandra, and observability tooling. He is proficient in Python, C++, JavaScript, SQL, Git, and GCP, and has recent hands-on work in similarity-based time series classification and LSTM forecasting. His projects bridge experimental ML tools and production-aware pipelines, translating temporal patterns into actionable predictions. Beyond forecasting, he explores text classification and sentiment analysis, reflecting a broader interest in signal extraction from noisy data. Colleagues would note his blend of rigorous mathematical training and pragmatic engineering — a mathematician’s lens applied to messy, time-dependent datasets.
8 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 Drexel UniversityProgramming languages (1)
Github contributions (5)
dgrethlein/RubixCube
Jan 2020 - Feb 2023
Python GUI Rubix Cube Solver
Contributions:10 releases, 1 review, 6 PRs in 3 years 1 month
cubepythonrubixpython-guisolver
dgrethlein/CS550_Assignment_1
Jan 2018 - Mar 2018
Contributions:68 pushes, 1 branch in 2 months
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