Na Li Location
- Austin, TX, US
Na Li Work
- 2024 -now Principal ML Solutions Architect @
- 2021 -2024 Director of Data Science and AI @
- 2019 -2021 Lead Data Scientist (Conversational AI and Recommendation) @
- 2018 -2019 Sr Manager of Data Science (NLP) @
- 2017 -2018 Staff Data Scientist (NLP and ChatBot) @
- 2016 -2016 Data Scientist Internship (Cyber ML) @
- 2011 -2014 Research Scientist - Computational Neuroscience @
- 2011 -2011 Visiting Researcher @
- 2004 -2010 Resarch Assisant - Computational Neuroscience @
Na Li Education
- University of Texas
Master of Science (Statistics, Data Science)
2014-2016 - University of Texas
Doctor of Philosophy (Neuroscience)
2005-2011
Na Li Skills
- Neural Networks
- R
- Predictive Modeling
- Market Technical Analysis
- Matlab
- Predictive Analytics
- Data Analysis
- Deep Learning
- Tableau
- Igor Pro
- Time Series Analysis
- Statistical Programming
- Natural Language Processing
- Microsoft Excel
- Mc Simulation
- SQL
- Python
- SAS programming
- Machine Learning
- Statistical Modeling
- Statistics
- Data Mining
Na Li Summary
- Na Li, based in Austin, TX, US, is currently a Principal ML Solutions Architect at Arm. Na Li brings experience from previous roles at KPMG US, Shiseido, Charles Schwab and Vrbo. Na Li holds a 2014 - 2016 Master of Science in Statistics, Data Science @ University of Texas. With a robust skill set that includes Neural Networks, R, Predictive Modeling, Market Technical Analysis, Matlab and more. Na Li has 3 emails on RocketReach.
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Top Arm Employees
David Wright
Vice President, Product - Creative Marketing
California, United States
Drew Henry
EVP, Physical AI Business Unit
California, United States
Ian Thornton
VP Investor Relations
Cambridge, Cambridgeshire, United Kingdom
Laurence Bryant
VP Segment Marketing IoT Line of Business
Reading, Reading, United Kingdom
Stuart Osborne
VP of Engineering, GPU at Arm
St Albans, GB
Becky Havens
VP People
Cambridge, GB
Hobson Bullman
Vice President Operations
Cambridge, Cambridgeshire, United Kingdom
Nick Horne
VP of Engineering, Machine Learning
Cambridge, Cambridgeshire, United Kingdom
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