Changes

In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency.  The division deploys specialized multidisciplinary expertise in the latest open source, hardware and cloud service techniques to tackle projects employing deep learning, Natural Language Processing (NLP), image processing, privacy preserving technics and information retrieval methods. </p>

In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency.  The division deploys specialized multidisciplinary expertise in the latest open source, hardware and cloud service techniques to tackle projects employing deep learning, Natural Language Processing (NLP), image processing, privacy preserving technics and information retrieval methods. </p>

<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI (moderator)]</strong></p>-->

<p>Participating in <strong>[https://wiki.gccollab.ca/Data_Conference_2022_Agenda#Building_the_future_with_responsible_AI Building the future with responsible AI (moderator)]</strong></p>

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