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 CDSS X Dataiku: Data for Improved Cities (TechTalk + Recruiting!)
7:30 PM19:30

CDSS X Dataiku: Data for Improved Cities (TechTalk + Recruiting!)

When: Wednesday, April 18 2018 @ 7:30pm - 9:00pm

Where: Pupin 329, Columbia University

CDSS is hosting our last data science tech talk of the semester with Dataiku! Dataiku’s core product is a complete data science software tool aimed at shortening the time-consuming load-clean-train-test-deploy cycles of building predictive applications. The French-based startup scored a $28 milion Series B investment in late 2017, a super cool office space in downtown Manhattan, and is currently hiring!

At this event, Dataiku’s Lead Data Scientist, Jed Dougherty, will present a project analyzing the largest national dataset on evictions from Kansas City using Dataiku’s platform. Jed will also speak about the full-time and internship opportunities available at Dataiku.

Please RSVP to the event if you can.

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CDSS x McKinsey/QuantumBlack
7:30 PM19:30

CDSS x McKinsey/QuantumBlack

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.


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.

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Arthena: Tech Talk + Recruiting!
8:00 PM20:00

Arthena: Tech Talk + Recruiting!

For more info.

Arthena is a YC-backed art hedge fund based in NYC. Come hear how we gather millions of records on decades of art auctions and quantitatively analyze, price, and invest in art.

We’re looking for full-time summer interns! Data science interns will build experimental models, expand our data pipeline, build data visualization tools, and contribute to the production machine learning systems we use to invest tens of millions of dollars in art. All internships are paid and based out of our office in SoHo, NYC.

About the speakers:

PAUL WARREN manages the data science team, products, and technical roadmap at Arthena. He is currently co-authoring a data science textbook with a Professor of Data Science in South Korea and has several years of professional data science experience. He studied Computer Science at Stanford, where he grew and managed a 100-person space exploration project group.

BASIL VETAS is a data scientist at Arthena and a graduate student at Columbia's Data Science Institute. He previously worked on the data visualization team at JPMorgan and Qualtrics, with an impact investing fund, and with a number of startups. Basil is originally from Salt Lake City and received his bachelor's degrees from the University of Utah. 

CHIKE UDENZE is a Software Engineering intern at Arthena. He studies software engineering at Rochester Institute of Technology and has previously worked at Releaf (YC Spring '17) and Datto.

*Bring in your résumés!

The Broadway Room is located on the 2nd floor of Lerner Hall (the big glass building just to the west of Butler Library). Detailed floor plan:

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