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