Srishti Gupta
Data AnalystMachine Learning Engineer at Google
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer at Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Big data engineering and machine learning enthusiast
Georgia Institute of Technology
Master of Science, Computer Science - Machine learning
January 1, 2013 – January 1, 2014
Guru Gobind Singh Indraprastha University
Bachelor of Technology , Computer Science & Engineering
January 1, 2009 – January 1, 2013
Machine Learning Engineer
October 1, 2019 – Present
San Francisco, California, United States
Myntra
Machine Learning Engineer
March 1, 2019 – September 1, 2019
Hike Messenger
Machine Learning Engineer
February 1, 2017 – December 1, 2018
Apple
Software Engineer(Data Analytics)
February 1, 2015 – January 1, 2017
San Francisco Bay Area
Apple
Software Development Intern
May 1, 2014 – August 1, 2014
Cupertino, California
Georgia Institute of Technology
Graduate Teaching Assistant
January 1, 2014 – April 1, 2014
Atlanta, Georgia
Indian Institute of Technology, Delhi
Research Intern
June 1, 2012 – July 1, 2012
New Delhi, India
CMC LTD
Software Development Intern
June 1, 2011 – July 1, 2011
New Delhi, India
CrunchBase Data Analysis For Investors’ Success And Collaboration
January 1, 2014 – Present
● Master's Project under Prof. Polo Chau and advised by Prof. Rahul Basole ● Extracting, cleaning and analyzing the dataset for investors' choices and collaborations in funding start-‐ups using Python, D3.js ● Working on new metrics of success and analysis of the collaboration pattern using graphical and visual analytics
Go Bike Go Web Application For Multi-‐City BikeShare Data Analysis
January 1, 2014 – April 1, 2014
● Designed and developed an interactive visual analytical tool for Bikeshare Data using clique analysis, Louvain algorithm and ST-DBSCAN ● Real time visual analytics for demographic and time based filtering and algorithmic analysis using Python and JavaScript
GT EventConnect Mobile and Web App
August 1, 2013 – December 1, 2013
● Developed a web and mobile app for events around the campus. The app recommends events according to the user's location, profile and preferences using JavaScript, PHP and Android. ● Convergence Innovation Competition Finalist
Meme Data Analysis Using MapReduce
August 1, 2013 – December 1, 2013
● Implemented PageRank and popularity measure algorithms using Map Reduce and Hadoop for a large meme data set using Java
Cultural Fit Analysis
The candidate has worked in diverse environments, from academic research to large tech companies (Apple, Google, Myntra, Hike). Their project portfolio shows a breadth of interests in data analysis, machine learning, and web/mobile application development. The experience as a Graduate Teaching Assistant also suggests a collaborative and supportive nature. The transition from Machine Learning Engineer roles back to a Data Analyst target role suggests adaptability and a focused interest in data insights.
Soft Skills & Operational Fit
The candidate's resume indicates experience in mentoring (Graduate Teaching Assistant) and collaboration (Siri Domains Team). The project descriptions suggest an ability to work on complex problems and deliver solutions. However, specific soft skill assessments are not available from the provided data.