Building Your Portfolio for Data Science Interview
Building Your Portfolio for Data Science Interview

Abstract: 

Data driven mindset has revolutionized a lot of domains in the modern world and there is an increasing demand for data scientists in the job market. Many new graduates are exploring opportunities as data scientist, data analyst or data engineer and many working professionals with industrial experience candidates also consider transitioning their career into the data science field. The data science interview can be a seemingly tough task, however, it is by no default a mission impossible to build your profile for the data science interview with comprehensive preparation plan to integrate knowledge and hand on practice. This presentation will cover some common advice for preparing data science interview and include an interactive session with the audience.
Knowledge - typical interview modules
Practice - how to behave well for phone screen and onsite interview
Insights - what is daily life like as a data scientist
Attendees will walk away with better idea about how they can build up profile for the data science interview and enter the fast growing field.

Bio: 

Long is a seasoned applied researcher and data scientist. He works at LinkedIn with cross-functional teams to identify business opportunities, optimize product performance and go-to-market strategy. He develops data-driven analysis workflow and machine learning models to drive member value and customer success. Before LinkedIn, he works in e-commerce field as machine learning data scientist for Amazon and Ebay, he has deep expertise and domain knowledge in ads bidding, personalized recommendation and fraud detection.