Alexandros (Alex) Nathan
Co-Founder | VP Analytics at Metrika- Claim this Profile
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Greek Native or bilingual proficiency
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English Native or bilingual proficiency
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French Elementary proficiency
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Bio
Experience
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Metrika
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Belgium
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IT Services and IT Consulting
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Co-Founder | VP Analytics
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Oct 2019 - Aug 2023
At Metrika we're building the world's premier Operational Intelligence platform for Blockchain networks. At Metrika we're building the world's premier Operational Intelligence platform for Blockchain networks.
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Metis
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Israel
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Software Development
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1 - 100 Employee
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Corporate Training Instructor
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Jul 2019 - Dec 2021
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Co-Founder
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2018 - Oct 2019
Aventrix was founded by Northwestern University graduates to help organizations tackle their toughest business challenges using machine learning. By applying best practices from industry and leading research from academia, we accelerate the time to value of your analytics investments. Aventrix was founded by Northwestern University graduates to help organizations tackle their toughest business challenges using machine learning. By applying best practices from industry and leading research from academia, we accelerate the time to value of your analytics investments.
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Northwestern University
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Philippines
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Higher Education
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1 - 100 Employee
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Graduate Teaching Assistant
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Apr 2014 - Jun 2018
Held weekly lab sessions for the following Master of Science in Analytics classes http://www.analytics.northwestern.edu/index.html):-- MSiA 431 Big Data Analytics (Spring 2014-2018): Course covered variety of topics and tools in big data, with emphasis in Hadoop, unstructured data concepts (key-value) and MapReduce technology. Other tools included Spark, Pig, Hive and HBase.-- MSiA 423 Analytics Value Chain (Winter 2018): Course taught future data scientists the essentials for moving a machine learning based solution from POC to production as well as design of experiments. -- MSiA 490 Text Analytics (Fall 2018): This course taught computational techniques for analyzing unstructured text such as that found in emails, text messages, conversation transcripts, web pages etc.-- MSiA 411 Data Visualization (Spring 2014): Curriculum was focused on Tableau and R. Show less
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Graduate Research Assistant
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Sep 2013 - Jun 2018
-- Developing algorithms for large-scale online and offline machine learning settings. I have worked extensively with Hadoop MapReduce and Spark. -- A more recent project focused on analyzing millions of transactions from Venmo, the most popular P2P payment service, to predict individual customer behavior.
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CME Group
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United Kingdom
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Environmental Services
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Data Science Intern
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Jun 2014 - Sep 2014
Employed unsupervised learning techniques to detect anomalous trading patterns. The resulting algorithm was used to identify various kinds of market manipulation practices. Employed unsupervised learning techniques to detect anomalous trading patterns. The resulting algorithm was used to identify various kinds of market manipulation practices.
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Johns Hopkins University
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United States
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Hospitals and Health Care
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1 - 100 Employee
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Teaching Assistant
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Aug 2011 - Dec 2011
Course: Introduction to Optimization Held weekly office hours and lab sessions. Course: Introduction to Optimization Held weekly office hours and lab sessions.
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Under Armour
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United States
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Retail Apparel and Fashion
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700 & Above Employee
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Industrial Engineering Intern
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May 2011 - Jul 2011
Created models to measure inventory capacity levels in the distribution facilities. Developed time studies for warehouse tasks and documented standard operating procedures. Created models to measure inventory capacity levels in the distribution facilities. Developed time studies for warehouse tasks and documented standard operating procedures.
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Education
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Northwestern University
Doctor of Philosophy (PhD), Industrial Engineering and Management Sciences -
Northwestern University
Master of Science (MS), Industrial Engineering -
The Johns Hopkins University
Bachelor of Science (BSc), Applied Mathematics and Statistics