Adrian S Tam

Director of Data Science

Adrian S Tam is a high-level professional, who works in Synechron main office of which is in 4. as a Director of Data Science from 2020. This person has earned professional experience in more than six positions at various companies. Adrian S Tam went to the New York University - Polytechnic School of Engineering and was studying there from 2007 to 2013. New York, New York is the city, where the professional was known to live. The person's phone and email are easily accessed through this website on demand.
Name variants:
Ade Tam
Last updated May 28, 2024

Contact Information

Last Update
Jul 4, 2022
Email
ad**@gmail.com
Location
New York, NY
Company

Workplace

Synechron
Director of Data Science

New York, NY

Industry

Computer Software, Custom Computer Programing Prepackaged Software Services Computer Systems Design, Custom Computer Programming Services, Nsk

Work History

Director of Data Science

11 Times Sq SUITE 3301, New York, NY 10036
from Feb 2020

Vice President Quant Risk

600 Lexington Ave, New York, NY 10022
from Jul 2018

Quantitative Strategist

270 Lafayette St SUITE 1001, New York, NY 10012
Mar 2013 — Jul 2018

Research Fellow

Brooklyn, NY
Academic research on computer networks. Projects involved include resilience in IP multicast by fast reroute, dynamic rerouting in data center network, ns-3 simulation on data center network...
Sep 2007 — Mar 2013

Research Assistant

In Department of Computer Science and Engineering, working on a plagiarism detection system.
Aug 1, 2006 — Sep 1, 2007

Project Engineer

Develop network infrastructure products and manage the company's internal network.
Jul 2002 — Aug 2004

Occupations

IT Professional
Data Analyst
Executive
Director
Computer Network Consultant
Vice President
Data Entry Specialist
Data Scientist
Operations Manager
Computer Consultant
IT Consultant
Chief Executive

Skills

Linux
C++
C
Perl
Python
Matlab
Latex
Algorithms
Probability
Stochastic Modeling
Unix
Shell Scripting
Bash
Programming
Tcp/Ip
Unix Shell Scripting
Scripting
Stochastic Processes
Machine Learning
Monte Carlo Simulation
Probability Theory
Stochastic Methods
Stochastic Calculus
Computer Science
Statistics
Calculus
R
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