Jasmine Mou

Data Scientist

San Francisco Bay Area United States
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Summary

👤
Senior
Jasmine Mou is a data scientist with a decade of experience who blends software engineering and machine learning to solve real-world problems. Based in the San Francisco Bay Area, she specializes in machine learning, deep learning, NLP, information retrieval, and data mining, with strong Python and R skills. She communicates complex results clearly to audiences with or without technical backgrounds, translating data into actionable business value. Her tech stack spans Linux, SQL, and ELK, with familiarity in Java, Spark, Kafka, Solr/Lucene, and front-end technologies, enabling end-to-end data projects. A self-driven problem solver and leader, she builds pragmatic, scalable solutions and actively contributes to tech communities. Off the clock, she embraces a full-stack data science mindset and a lifelong sci-fi curiosity that fuels creative, forward-thinking approaches.
code10 years of coding experience
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Github Skills (18)

prediction10
hypothesis-testing9
econometrics9
statistics9
espn9
statsmodels9
regression-models9
forecasting9
modeling9
data-analysis8
python8
generalized-linear-models8
statistical-modeling8
data-science8
docker1

Programming languages (3)

Jupyter NotebookRubyPython

Github contributions (5)

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JasmineMou/ND009

Dec 2017 - Feb 2019

Content for Udacity's Machine Learning curriculum
Contributions:2 PRs, 9 pushes, 1 branch in 1 year 1 month
curriculumudacitydata-sciencemachine-learningcurriculum-learning
JasmineMou/full-stack-notes

Mar 2017 - Apr 2019

Contributions:6 pushes, 1 branch in 2 years 1 month
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