Jenny Long
Analytics Engineer at Profound
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJenny Long is an Analytics Engineer based in New York with five years of experience blending machine learning research, data productization, and growth analytics. She has driven analytics and growth strategy at Datadog and now builds analytics infrastructure at Profound after advising PE firms on over 25 software and TMT deals at EY-Parthenon. Her background includes pre-doctoral CS work at the University of Chicago and research on interpretable attention models at McGill, where she applied those techniques to both text and neuroscience data. Comfortable moving models from prototype to production, she has practical experience in NLP, transfer learning, and building extraction pipelines for real-world risk detection. Known for bridging rigorous quantitative analysis with clear communication, she also brings hands-on experience organizing AI communities and teaching advanced ML topics.
5 years of coding experience
2 years of employment as a software developer
DEC , Arts and Science, DEC , Arts and Science at Marianopolis CollegePre-Doctoral MS, Computer Science, Pre-Doctoral MS, Computer Science at University of ChicagoBachelor's degree , Physics and Computer Science, Rossy Leader Scholarship, Bachelor's degree , Physics and Computer Science, Rossy Leader Scholarship at McGill University
French, Chinese, English
Github Skills (3)
hugo10
datadog10
documentation10
Programming languages (1)
Github contributions (1)
DataDog/documentation
Oct 2020 - Aug 2021
The source for Datadog's documentation site.
Contributions:10 commits, 9 PRs, 3 pushes in 10 months
datadoghugowiki
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