Shuo Zhang
Data AnalystAudio/NLP machine learning R&D
Bose Corporation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Audio/NLP machine learning R&D
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning researcher, engineering leader, and educator working on audio, NLP, MIR, and speech applications across industry and academia.
Georgetown University
Doctor of Philosophy - PhD, Computational linguistics
December 1, 2017 – Present
University of Pittsburgh
Master's degree, Music
December 1, 2009 – Present
Peking University
Bachelor of Science - BS, College of Environmental Sciences and Engineering
June 1, 2006 – Present
Georgetown University
Master of Science - MS
N/A – Present
Tufts University
Professor of the Practice, AI and Data Analytics
September 1, 2023 – Present
Bose Corporation
Principal Machine Learning Research Engineer
July 1, 2017 – Present
Bose Corporation
Senior Natural Language Processing Research Engineer
July 1, 2017 – September 1, 2019
Universitat Pompeu Fabra
Researcher, Music Technology Group
May 1, 2013 – January 1, 2017
Barcelona Area, Spain
Certified ScrumMaster (CSM)
Scrum Alliance
June 24, 2026 – Present
Text Mining and Analytics
Coursera Course Certificates
June 24, 2026 – Present
Text Retrieval and Search Engines
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and advanced ML/NLP engineering. While highly technical, the direct alignment with a typical 'Data Analyst' role, which often involves more business intelligence, reporting, and dashboarding, is not explicitly demonstrated. The diversity of projects is strong within the ML/NLP domain, but less so across broader data analysis applications. The experience in teaching and research suggests a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate's experience as a Professor and Principal Research Engineer suggests strong analytical thinking, problem-solving, and communication skills. Their work in R&D and advising students indicates an ability to work independently and collaboratively. The Certified ScrumMaster (CSM) certification points to an understanding of agile methodologies, which is beneficial for operational fit.