Shasha Liao is a Senior Data Scientist based in Atlanta with eight years of experience blending rigorous mathematical training (PhD-level studies at Georgia Tech) with hands-on ML and deep learning work on both structured and unstructured data. At Paramount she moved from Data Scientist to Senior Data Scientist, applying statistical modeling, NLP (Word2Vec, seq2seq, document clustering), and scalable Python tooling to production problems on Google Cloud. She has engineered end-to-end solutions—from building a scraper API and guiding a team to collect over one million career records to designing modified K-Means and Word2Vec pipelines for job-title classification—while also teaching advanced math and probability at Georgia Tech. Comfortable in PyTorch, scikit-learn, spaCy and SQL (with additional C++ and MATLAB skills), she combines research-grade math instincts with practical product delivery. Outside engineering she identifies as a photographer and artist, hinting at a creative approach to data visualization and storytelling.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at Georgia Institute of Technology
Mathematics, Mathematics at Nankai University
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at Hunan University
Contributions:43 commits, 11 pushes, 1 branch in 2 months
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