Job Title: Senior Data Scientist
Farhan is a senior data scientist on the content science and algorithms team at Netflix, where he is responsible for predicting show demand prior to release on the service. Prior to Netflix he worked at Opera Solutions where he used machine learning approaches to solve problems in various domains including telecommunications and the automobile industry. He received his Bachelor’s degree in Computer Science with distinction from the University of Western Sydney, he then went on to do a Master’s in Computer Science at the University of Houston. He obtained a Ph.D. in Neuroscience at USC and focused on the neural mechanisms of visual attention. A combined interest in artificial intelligence, original intelligence and data led him to pursue a career in data science.
What makes content valuable on Netflix? Using data science to predict the success of content on Netflix. Building an optimal content catalog.
Machine learning algorithms aren’t new, but the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. With steady advances in digitisation and cheap computing power, what tangible opportunities does this present for optimising your business and processes? Human vs. Machine – Discussing… Read more.
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