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San Francisco

149 New Montgomery St 2nd floor, San Francisco, CA 94105

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Meet your San Francisco team.

Jonathan balaban

Jonathan Balaban

Senior Data Scientist

Jonathan Balaban is a consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience.

As a data scientist, he has worked at McKinsey and Booz Allen Hamilton, and he has taught data science at General Assembly. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.

Check out content by and/or featuring Jonathan:

Github Repository

Article: Three Questions Business Leaders Should Be Asking About Apple’s New Machine Learning Kit

Talk: Fortune-Telling with Python: An Intro to Time Series Modeling (ODSC East 2017)

Talk: Fortune-Telling with Python: Intro to Facebook Prophet (ChiPy Users Group)

Article: Best Practices for Applying Data Science Techniques in Consulting Engagements

Robert alvarez

Robert Alvarez

Senior Data Scientist

Robert loves to break deep technical concepts down to be as simple as possible, but no simpler.

Robert has data science experience in companies both large and small. At Intel, he used his knowledge to tackle problems in data center optimization using cluster analysis, enrich market sizing models by implementing sentiment analysis from social media feeds, and improving decision making in one of the top 5 global supply chains. At Tamr, he built models to unify large amounts of messy data across multiple silos for some of the largest corporations in the world. He earned a PhD in Applied Mathematics from Arizona State University where his research spanned image reconstruction, mathematical epidemiology and oncology. Robert is an Adjunct Professor at the Leavey School of Business where he teaches Data Science and Machine Learning. In his spare time, he is a rum judge, avid traveler, and eater of all things coconut.

Damien martin

Damien Martin

Senior Data Scientist

Damien looks to data to build simplified models of the world, to help us understand and reason about it.

Damien has experience bringing esoteric subjects down to Earth. After completing a PhD in cosmology, he spent his time developing project-based learning in physics, math and computer science at small liberal arts colleges. He loves developing projects that are relevant and interesting, while still highlighting the important concepts. After leaving the classroom, Damien worked as a curriculum designer and data scientist for a small San Francisco recruiting startup for people looking for coding jobs. When he's not working on lectures, Damien can be found studying Wing Tsun, playing Go, or on a photo hike.

Adam wearne

Adam Wearne

Senior Data Scientist

With a background in physics and quantitative finance, Adam has applied data science and machine learning solutions in a wide variety of research settings ranging from recognizing and clustering behavioral patterns to applying natural language processing techniques to help build superior equity portfolios.  Adam is passionate about teaching and is excited to share his industry experiences with students. 

Check out content by Adam:

Paper: Using Natural Language Processing Techniques for Stock Return Predictions

Paper: Characterization of liposomes and silica nanoparticles using resistive pulse method

Josh shaman

Josh Shaman

Senior Admissions Manager

Josh is a career education professional who is passionate about creating meaningful relationships with students and helping them take the next best step in their education and career.

Josh started his career in education by spending nearly 4 years in South Korea as a teacher. After returning from South Korea, Josh launched an online school teaching ESL to business professionals around the world. He also enrolled in and completed a M.Ed. from the University of Cincinnati. Most recently, Josh worked at Hack Reactor as an admissions and program manager, developing innovative programs that would help students prepare to apply and creating sincere relationships with students to help them take their skills to the next level.

Andrew savage

Andrew Savage

Senior Career Advisor and Head of Employer Partnerships

Andrew is passionate about connecting people to their dream job.

Andrew is passionate about helping students see what's possible for themselves, by providing them with personalized career support that helps them achieve their specific goals. A lifelong Bay Area resident, Andrew graduated from Santa Clara University with a degree in Political Science. Andrew combines his experience as a Career Coach with previous roles where he helped tech companies expand their business and hire employees who best fit their needs. As the Career Advisor in San Francisco, Andrew helps students prepare for the workforce by helping them identify what they really want out of a career, developing a workable plan, and providing support at every step along the way. Outside of work Andrew enjoys traveling, hiking, and spending time with his pug.

Check out content by and/or featuring Andrew:

Interview: AI & Deep Learning News (AITV Episode)

Article: Navigating the Data Science Job Market – What to Know Before You Apply

Talk: How to Position Yourself in the Data Science Job Market (ODSC)

Stephany bittar

Stephany Bittar

Program Manager

Stephany is a numbers girl with a passion for statistics, social entrepreneurship, and education.

Stephany is an action oriented behavioral economist with a passion for education. She comes to Metis from Florida State, where she earned her degree in Economics with concentrations in Psychology and Math. Her college experience included a run as the youngest Student Body President at a Florida State campus, and she's excited to use her energy and experiences to shape the student experience. Out of the office, you can count on Stephany for a trip to the local bookstore, music venue, or brunch.

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Check out our upcoming courses.

Jan 7 to Mar 29
M-F, 9:00am to 5:00pm  - Full Time
Apr 1 to Jun 21
M-F, 9:00am to 5:00pm  - Full Time
Oct 15 to Nov 14
Mon/Wed 6:30 - 9:30PM  - Evenings

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