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Sr. Research Scientist at Cerence Inc.
Creative and highly self-motivated computer scientist and software professional offering over 10 years' extensive research and hands-on development experience to provide desktop and mobile computing solutions, software design & development using C/C++, HTML(5), CSS(3), JAVASCRIPT, HTML DOM, jQuery, AJAX, JSON, SQL, JAVA, MFC, GUI, XML in Unix/Linux and Windows environments towards the organizational benefits, business knowledge and self-growth. Specialities: - Deep Learning - Machine Learning - Compressive Sensing - Statistical Modelling - Speech Enhancement - Speech Recognition - Speaker Recognition / Biometric Authentication - Statistics - Image Processing - Video Processing (Compression/Recognition) - Pattern Classification - Artificial Intelligence - Natural Language Processing - Artificial Neural Networks (ANN) - Hidden Markov Models (HMM) - Gaussian Mixture Models (GMM) - Embedded Programming Languages spoken and written: - English (fluent), French (intermediaire), Mandarin (native) Other languages learned: - German (basic)
Universität des Saarlandes
Doctor of Philosophy (PhD), Speech signal processing
January 1, 2004 – January 1, 2007
Tsinghua University
Master of Science (MSc), Computer Science
January 1, 1999 – January 1, 2002
Harbin Engineering University
Bachelor of Applied Science (B.A.Sc.), Computer Science
January 1, 1992 – January 1, 1996
Cerence Inc. / Nuance Communications
Sr. Research Scientist
January 1, 2019 – Present
Gameloft
Sr. Software Engineer, Deep Learning Researcher and Developer
July 1, 2015 – January 1, 2018
Montreal, Canada Area
ECE Concordia Univ.
developer & researcher
November 1, 2010 – July 1, 2015
York University
researcher & developer
March 1, 2008 – October 1, 2010
Speech Company UK
Research and Development Engineer
February 1, 2007 – February 1, 2008
Shanghai Jade Ltd, Shanghai, P. R. China
Software Engineer
January 1, 2003 – February 1, 2004
Cultural Fit Analysis
The candidate's background is heavily weighted towards research and development in speech processing, NLP, and deep learning. While these skills are relevant to data analysis, the target role of 'Data Analyst' typically involves more direct business intelligence, reporting, and statistical analysis using tools like SQL, Tableau, or Power BI, which are not explicitly highlighted. The project diversity is strong within the AI/ML domain but less so in traditional data analysis applications. This suggests a potential mismatch in the day-to-day responsibilities and tools expected for a typical Data Analyst role, leaning more towards a Data Scientist or ML Engineer profile.
Soft Skills & Operational Fit
The candidate's extensive research and development background suggests strong problem-solving abilities and a methodical approach to complex challenges. Experience in leading projects and securing grants indicates initiative and project management potential. However, the resume does not provide direct evidence of collaboration styles or stress handling, which would require further assessment.