Arpit Gupta
Data AnalystPrincipal Scientist at Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Principal Scientist at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Columbia University
MS Machine Learning, Computer Science
January 1, 2013 – January 1, 2014
Delhi College of Engineering
BE, computer science
January 1, 2009 – January 1, 2013
Bal Bharati Public School
Std XII
January 1, 1994 – January 1, 2009
Amazon
Principal Scientist
December 1, 2024 – Present
Amazon
Sr. Applied Scientist
May 1, 2021 – December 1, 2024
Apple
Machine Learning Scientist
September 1, 2020 – May 1, 2021
Cupertino, California, United States
Amazon
Sr. Applied Scientist
April 1, 2020 – September 1, 2020
Amazon
Machine Learning Scientist
February 1, 2015 – April 1, 2020
IBM
Machine Learning Scientist Intern
September 1, 2014 – December 1, 2014
Yorktown Heights, New York
Amazon
Research Scientist Intern
June 1, 2014 – August 1, 2014
Boston
Columbia University in the City of New York
Graduate Teaching Assistant
January 1, 2014 – May 1, 2014
Columbia University in the City of New York
Graduate Student
September 1, 2013 – December 1, 2014
IIIT Delhi
Research Intern
May 1, 2012 – July 1, 2012
Bal Bharati Public School
Student
January 1, 1995 – January 1, 2009
Alexa Skills Kit
June 1, 2015 – Present
Built ASR and NLU capabilities for Alexa Skills Kit (Amazon Echo). Our Language Understanding capabilities also power AWS Lex. https://developer.amazon.com/alexa-skills-kit https://aws.amazon.com/lex/
Seekr
May 1, 2014 – Present
The Now Network. Seekr is a prototype for an ad-hoc social network for accomplishing simple local tasks - : Finding someone to play squash or basketball with, asking around for the best place to find Italian food nearby, finding about concerts happening around you in realtime, finding hobby groups in the neighbourhood. Also mines text from social media sources such as Twitter and Eventbrite to populate your newsfeed with useful information. Built using: Android, Java Play hosted on Heroku, MongoDB, a Machine Learning Pipeline on AWS EC2, check project page for details.
Ensemble Document Clustering Using Matrix Completion
March 1, 2014 – May 1, 2014
Analyzed and compared various document clustering methods with Ensemble Clustering using Matrix Completion. Having observed that Document clustering using Topic Modeling outperforms all other methods, attempted to improve performance by combining Ensemble Clustering over Topic Modeling. Used Matlab, Python Scikit.
Categorization of community-rated StumbleUpon webpages as evergreen or ephemeral
October 1, 2013 – December 1, 2013
Building a classifier which will evaluate a large set of URLs rated by StumbleUpon community and label them as either evergreen or ephemeral.
Simulation of FAT 32
December 1, 2010 – Present
Details: It is a console application which gives users freedom to use in, any order, any of the several common functionalists: Creation of files and directories, modification (append and overwrite), deletions, cut, copy, paste, password protection, listing directory contents and recycle – bin facility. Technology Used: C with Dev-C++ 4.9.9.2
Artificial Intelligence Game French Cricket
December 1, 2010 – Present
A two player AI game Fricket was developed on the lines of popular game French cricket. Participants were asked to write code for their players which could decide its move based on current state of game. The game was to be designed following certain rules given in C++.
Cultural Fit Analysis
The candidate has a strong background in large tech companies (Amazon, Apple, IBM) and academic research, indicating a fit for structured, research-driven environments. The diversity of personal projects, from AI games to social networks, suggests intellectual curiosity and initiative. However, the target role of 'Data Analyst' might be a step down from 'Principal Scientist' or 'Sr. Applied Scientist' roles, which could impact long-term cultural fit if the role responsibilities do not align with their senior experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to work on diverse technical challenges. Experience as a Graduate Teaching Assistant suggests communication and mentorship skills. However, specific details on collaboration, leadership, or project management within team settings are limited in the provided data.