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With Elizabeth Sabovic (VP Data Science & Operations, Butter Works) & Lukas Wadya (Data Science, Metis).
Thursday, July 25, 2019 at 06:00 PM   Absolutely Free
Metis, 27 E 28th St, 3rd Fl
 
     
 
 
              

          
 
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DETAILS
Join us for food & drinks on July 25th as we walk you through what students learn during their 12 weeks of project-based data science work. You'll also see a capstone project presentation & hear from alumni about how to prepare, what to expect, & what happens after the bootcamp.

What to expect:

-6:00-6:30 - Register, mingle, eat & drink.
-6:30-7:00 - Overview of the Metis program presented by staff; capstone project presented by Lukas Wadya.
-7:00-7:30 - Metis staff & alumni answer questions about career support, curriculum, admissions, etc.
-7:30-8:00 - Follow-up chat with alumni, staff & guests.

Data science is a natural progression in Elizabeth's quest to find objective truth. She comes from the analytics world, freelancing & working for digital media publications Thrillist & Elite Daily, as well as the marketing agency MullenLowe of IPG. As a Senior Analyst, she worked to automate data collection, streamline analysis, & optimize the decision-making process while managing a small team of analysts. While at Metis, Elizabeth fine-tuned her analytical, programming, visualization, & storytelling capabilities. Her final project utilizes neural networks for image processing & auto-generating hashtags for Instagram. She holds a Bachelor's degree in Statistics & Quantitative Modeling from Baruch's Zicklin School of Business.

Lukas is a data scientist with over a decade of programming & design experience. Prior to joining Metis, he enjoyed a lengthy career in commercial & video game animation in roles combining artistic & technical proficiency. A burgeoning interest in economics, the desire to learn more broadly-applicable skills, & a love of using code to creatively solve problems led Lukas to pursue a career in data science. For his final project, Lukas is developing an automatic archery scoring system using a combination of computer vision techniques.

Featuring alumni Elizabeth Sabovic & Lukas Wadya
 
 
 
 
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