Anup Rao, Age 41Redondo Beach, CA

Anup Rao Phones & Addresses

Redondo Beach, CA

Los Angeles, CA

415 Connor Ct, Schenectady, NY 12309 (518) 393-3857

Niskayuna, NY

New York, NY

Work

Company: New jersey transit police department Feb 2014 Position: Intelligence analyst intern

Education

School / High School: Seton Hall University- South Orange, NJ 2012 Specialities: MA in Diplomacy and International Relations

Mentions for Anup Rao

Anup Rao resumes & CV records

Resumes

Anup Rao Photo 28

Senior Consultant

Location:
1734 6Th St, Washington, DC 20001
Industry:
Government Administration
Work:
E3 Federal Solutions, Llc
Senior Consultant
United States Senate Sep 2016 - Nov 2017
Legislative Correspondent
United States Senate Jul 2015 - Aug 2016
Staff Assistant
Congressman Mark Takano May 2015 - Jul 2015
Intern
Botec Analysis May 2015 - Jul 2015
Research Assistant
Office of Representative Hakeem Jeffries Sep 2014 - May 2015
Legislative Intern
C2 Education Sep 2012 - Jul 2014
Sat Instructor
Nj Transit Feb 2014 - Jul 2014
Intelligence Analyst Intern
The Journal of Diplomacy and International Relations Sep 2013 - May 2014
Senior Editor
The Journal of Diplomacy and International Relations Sep 2012 - Sep 2013
Associate Editor
Sentinel Strategy & Policy Consulting May 2013 - Aug 2013
Research Intern
Ascel Bio Jan 2013 - May 2013
Research Intern
C2 Education Jun 2011 - Aug 2012
Instructor
Allstar Law Sep 2011 - Nov 2011
Legal Intern
Staglin Imhro Center For Cognitive Neuroscience Jan 2008 - Jan 2009
Student Research Assistant
Education:
Seton Hall University 2012 - 2014
Masters, Master of Arts, International Relations
University of California, Los Angeles 2005 - 2009
Bachelors, Bachelor of Science, Neuroscience
Seton Hall School of Diplomacy and International Relations
Masters, International Relations
Skills:
Research, Data Analysis, Editing, Microsoft Office, Political Science, Qualitative Research, Policy Analysis, Grant Writing, International Relations, Spss, Analysis, Neuroscience, Policy, R, Intelligence Analysis, Clinical Research, Proposal Writing, Powerpoint, Analyst Briefings, National Security, Mandarin, Tutoring, Science, Politics, Legislative Research, Basic Mandarin, Basic French, Statistics, Access, Public Speaking, Political Risk Analysis, Briefing, Medical Education, Computer Literate, Teaching Experience, Teaching/Mentoring, Mysql, Postgresql, Scholarly Research
Interests:
New Technology
Political Science
Politics
Snowboarding
Education
Policy Development
Consultant Development Training
Musical Performance
Science and Technology
Health
Languages:
Mandarin
French
Certifications:
Japan 101 Series Certificate of Completion
China 101 Series Certificate of Completion
Foreign Policy Fellow
Crs Advanced Legislative Process Institute
Anup Rao Photo 29

Anup Rao

Anup Rao Photo 30

Anup Rao - South Orange, NJ

Work:
New Jersey Transit Police Department Feb 2014 to 2000
Intelligence Analyst Intern
Seton Hall Journal of Diplomacy and International Relations - South Orange, NJ Sep 2012 to May 2014
Senior Editor
C2 Education, Inc. - Parsippany, NJ Jul 2011 to Feb 2014
Instructor
Sentinel Strategy and Policy Consulting - Vienna, VA May 2013 to Aug 2013
Intern
Ascel Bio - New York, NY
Research Intern
Education:
Seton Hall University - South Orange, NJ 2012 to 2014
MA in Diplomacy and International Relations
University of California at Los Angeles - Los Angeles, CA 2005 to 2009
BS in Neuroscience

Publications & IP owners

Us Patents

Predicting A Persona Class Based On Overlap-Agnostic Machine Learning Models For Distributing Persona-Based Digital Content

US Patent:
2021005, Feb 25, 2021
Filed:
Aug 20, 2019
Appl. No.:
16/545224
Inventors:
- San Jose CA, US
Matvey Kapilevich - Irvington NY, US
Lakshmi Shivalingaiah - San Francisco CA, US
Anup Rao - San Jose CA, US
Alexandru Ionut Hodorogea - Bucharest, RO
Harleen Singh Sahni - Washington DC, US
International Classification:
G06N 20/00
G06N 5/02
Abstract:
The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently predicting a persona class of a client device and/or target user utilizing an overlap-agnostic machine learning model and distributing persona-based digital content to the client device. In particular, in one or more embodiments, the persona classification system can learn overlap-agnostic machine learning model parameters to apply to user traits in real-time or in offline batches. For example, the persona classification system can train and utilize an overlap-agnostic machine learning model that includes an overlap-agnostic embedding model, a trained user-embedding generation model, and a trained persona prediction model. By applying the learned overlap-agnostic machine learning model parameters to the target user traits, the persona classification system can predict a persona class for sending digital content based on the predicted persona class.

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