For more info.
Come join McKinsey’s New Ventures, Advanced Analytics, and QuantumBlack practices on March 29th, 2018 at 7:30pm ET for a conversation about our work in data analytics and machine learning. We will explain the work these groups do and then talk through a recent project that leveraged machine learning to predict and prevent injuries for a professional sports team. We will also discuss the data analytics and machine learning roles at McKinsey and QuantumBlack. Following the talk, there will be a panel discussion to answer any questions. We look forward to meeting you!
Please arrive at 7:30pm sharp, as we’ll be beginning the presentation then.
Agenda:
7:30 – 8:30pm: Introductions, Analytics Case Presentation, Recruiting Process Overview
8:30 – 9:00pm: Q&A
Presenter Bios:
Muneeb Alam - Muneeb is an Analytics Fellow in McKinsey’s Public Sector Analytics group. He joined McKinsey right out of university, with a BA in astrophysics from Columbia and a Master’s in Analytics from Imperial College London. He’s served clients in corrections, tax, and education.
Daniel First – Daniel is a Data Scientist at QuantumBlack, a subsidiary of McKinsey that specializes in machine learning. After pursuing graduate studies at Columbia’s Data Science Institute as an NSF research fellow, he joined McKinsey initially as a management consultant, before moving over to his current role at QuantumBlack. His work has centered around collaborating with doctors and hospitals to design innovative, data-driven solutions to improve outcomes for patients, by forecasting and preventing medical risks. He has also published on the social and political implications of Artificial Intelligence. He holds a master’s degree in philosophy from the University of Cambridge and an undergraduate degree in neuroscience from Yale University.
Ishneet Kaur – Ishneet is a Risk Advanced Analytics Fellow with experience in risk identification and stress testing. She interned with Risk Analytics in the Summer of 2016 before joining McKinsey full time in July of 2017. Ishneet holds a Masters in Applied Economics from Cornell University.