Who is the Full-stack data scientist?
They are general scientists with the job of an engineer and work on each phase of the data science lifecycle.
A full-stack data scientist’s scope of work includes every component of a data science business initiative, from problem identification, training, to deploying machine learning models that benefit stakeholders.
Join Gambaru to answer the above questions at the 8th Technical Event sharing session, which will take place on the afternoon of Saturday, April 16.
The event will have the participation of Mr. Tam Pham, lecturer of Griffith University.
Mr. Tâm is an expert in databases, data science, artificial intelligence, blockchain, and machine learning.
He has a Ph.D. in Computer Science and Data Science from EPFL, Switzerland where his research focused on the area of databases with a special focus on data filtering techniques for both structured and unstructured datasets; trust management for crowdsourcing platforms; deep learning for data lakes, data networks, and streams; as well as human-in-the-loop systems design to facilitate trust-building mechanisms between humans (workers) and machines (algorithms).
His interest span ranges from designing novel algorithms to implementable systems that can be used by individuals or organizations to better understand their world through the lens of big data.
Now he is the advisor of 7 startups in EduTech, FinTech, Mental Health, Nutrition, Business Intelligence, etc.