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Demi D.

Senior Data Scientist at Sapia.ai

Demi D. has diverse work experience in the field of data science and research. They currently hold the position of Senior Data Scientist at Sapia.ai since March 2022. Prior to this, they worked as a Data Scientist at the same company from February 2021 to February 2022.

Before joining Sapia.ai, Demi D. was associated with the University of Melbourne for a significant period. They served as a Research Fellow (Postdoc) and Research Assistant from August 2020 to May 2022. In this role, Demi D. conducted research on deep learning algorithms and supervised multiple research projects and graduate theses. They also supervised a large number of master students on Winter Break Research Projects, providing support in various tasks related to web crawling, data processing, and data visualization. Additionally, Demi D. provided cloud server support for master and PhD students at the university.

Prior to their role at the University of Melbourne, Demi D. worked as a PhD Candidate and Research Assistant from February 2017 to August 2020. During this time, they conducted research on various topics, including deep URL representation learning, ensemble learning for citation fields prediction, multi-task citation fields learning, and sequential labeling in academic homepages. They supervised four master students for their research projects and collaborated with around 30 master students on Winter Break Research Projects.

Before joining the University of Melbourne, Demi D. worked as a Research Assistant at Zhejiang University from July 2015 to June 2016.

Overall, Demi D. has a strong background in data science, research, and academic support.

Demi D.'s education history shows that they pursued a Doctor of Philosophy (PhD) degree in Computer Science at the University of Melbourne from 2017 to 2020.

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Sydney, Australia

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Sapia.ai

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Sapia is a team of data scientists, artificial intelligence experts, IO psychologists and recruitment industry veterans who’ve joined together on a mission to change the way candidate assessment is done, by leveraging the power of smart technology. We believe all people decisions should be based on data and analytics – not gut feeling. With thehelp of technology, we want to level the candidate playing field and help reduce unconscious biases in the hiring process. Offices in the US, UK and Australia.


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