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Metis Blog

interviews

Meet Kevin Birnbaum, New Metis Sr. Data Scientist

By Emily Wilson • October 17, 2019

Kevin Birnbaum is a new Sr. Data Scientist on the Corporate Training team at Metis. We recently caught up with him to ask a few questions about his career thus far, his new role at Metis, what interests him most about data science, and more.

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AMA Recap: How Data Can Save the World with Natalie Evans Harris

By Metis • October 17, 2019

We recently hosted Natalie Evans Harris, Co-Founder and Head of Strategic Initiatives at BrightHive, for a live online Ask Me Anything session exploring the ways in which data scientists, data professionals, companies, and institutions can equip themselves and others with tools to transform lives through data. Watch a recording here.

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Ai4 Finance Conference Panel Recap: Preparing Your Organization for AI feat. Metis’s Michael Galvin

By Emily Wilson • October 15, 2019

The Ai4 Conferences present opportunities for business leaders and data practitioners to discuss the adoption of AI in their industries, be it healthcare, retail, cybersecurity, or beyond. At this year's Ai4 Finance Conference in NYC, Michael Galvin (Metis Executive Director of Data Science Training) participated in a panel discussion on Preparing Your Organization for AI. Read a recap of it here.

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Demystifying Data Science Recap: Tom Schenk Jr. on Doing Good with Data Science

By Emily Wilson • October 01, 2019

For those interested in what was covered on Day 2 of Demystifying Data Science (designed for Business Leaders, Managers, and Practitioners), we’re offering an easy-to-read blog series that summarizes each speaker's talk. This installment covers Tom Schenk Jr.'s talk on How We Can Do Good With Data Science.

data science
Sr. Data Scientist Roundup: A Guide to Object Detection, ODSC West Talks & Workshops, & More

By Metis • September 30, 2019

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

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Made at Metis: Predicting Earthquakes & Visualizing Personality Profiles in Film

By Emily Wilson • September 30, 2019

This post features two projects from recent graduates of our data science bootcamp . Take a look at what's possible to create in just 12 weeks.

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We're Not Going to Hire our Way Out of this One

By Eric Kuennen • September 23, 2019

When hiring data scientists, it's a fight for talent. To help fill the talent gap, companies need to focus on the talent sitting right in front of them; to align recruiting practices with skilling and upskilling their current employees, enabling and empowering them to take on the tasks that the 4th industrial revolution is already demanding.

interviews
Meet Javed Ahmed, New Metis Sr. Data Scientist

By Emily Wilson • September 20, 2019

Javed Ahmed is a new Sr. Data Scientist at Metis who enjoys exploring the intersection of econometrics, traditional analysis, and machine learning to develop useful operational insights. We caught up with him to discuss his views on corporate data science training, his overall career, and details of his upcoming free webinar on Data-Driven Approaches to Data Science, which is scheduled for September 26th.

data science
A Beginner’s Guide to Object Detection

By Kimberly Fessel • September 18, 2019

This post from Metis Sr. Data Scientist Kimberly Fessell covers the basics of object detection: what it is, various approaches to it, the measurements used to judge its results, along with a few important considerations of modern object detection.

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Free Metis Webinar: Data-Driven Approaches to Forecasting (9/26!)

By Emily Wilson • September 10, 2019

On Thursday, September 26th, you're invited to join us for a live (and free!) webinar on Data-Driven Approaches to Forecasting with Metis Sr. Data Scientist Javed Ahmed, designed for business leaders, data science managers, and decision-makers seeking to understand how data-driven approaches can improve forecasting and planning.