Evan Adkins
Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEvan Adkins is a data scientist in Seattle with nine years of experience applying machine learning and NLP to operational problems across e-commerce logistics and finance. He has built ETL pipelines, internal software packages, and production models at Amazon and SAP Concur that saved hundreds of hours yearly and materially reduced delays and auditor workload. His background in mathematics education and ecology informs a pragmatic, human-centered approach to model design and citizen science projects, from wildlife image classification to IoT behavior monitoring. Comfortable mentoring colleagues through end-to-end data science lifecycles, he combines research-grade techniques (CNNs, anomaly detection, NLP) with product-minded deployment skills. Notably, he has translated classroom teaching success into practical data products, proving an ability to simplify complex concepts for diverse audiences.
9 years of coding experience
5 years of employment as a software developer
Certificate in Data Science, Certificate in Data Science at Galvanize IncB.A., Mathematics, Anthropology, B.A., Mathematics, Anthropology at Hamilton College
Github Skills (43)
visualization7
cython7
natural-language-processing7
python7
jupyter-notebook7
nlp7
regl6
turkish6
deep-learning6
interactive6
declarative6
plotly6
graph6
machine-learning6
text-classification6
Programming languages (1)
Github contributions (5)
coradek/Spark_NLP
Dec 2016 - May 2017
Contributions:25 commits, 21 pushes, 1 branch in 4 months
coradek/CNW_Wildlife_Identification
Nov 2016 - May 2017
Contributions:63 commits, 52 pushes, 2 branches in 6 months
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