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Saurav Jainhttps://www.linkedin.com/in/sauravjain92
sj2726@columbia.edu | 347.819.3711
EDUCATION
COLUMBIA UNIVERSITY
MS IN COMPUTER SCIENCE
MACHINE LEARNING TRACK
Expected Dec 2016 | New York, NY
MANIPAL UNIVERSITY
BE IN COMPUTER SCIENCE AND
ENGINEERING
May 2014 | Manipal, India
LINKS
Github://sauravj
LinkedIn://sauravjain92
Twitter://@sauravj
COURSEWORK
GRADUATE
Machine Learning
Cloud Computing and Big Data
Advanced Database Systems
Database System Implementation
Analysis of Algorithms
Storytelling with Streaming Data
From Data to Solutions
UNDERGRADUATE
Operating Systems
Data Structures
Neural Networks and Fuzzy Logic
Software Engineering
Computer Graphics
Distributed Systems
Language Processors
Computer Networks
SKILLS
PROGRAMMING
Python • JavaScript • Go
C++ • C# • Java
TOOLS
AWS • Hadoop • Git
MongoDB • Flask • Matlab
WEB
Node.js • HTML • CSS
D3.js • Jinja2 • MySQL
EXPERIENCE
APPLE INC. | SOFTWARE ENGINEERING INTERN
Jun 2016 - Sep 2016 | San Francisco, CA
• As a member of the Siri Search team, developed FeedbackVisualizer, a tool
which visualizes user activity and server decisions, in the Spotlight and Safari
apps on iOS and macOS, and displays relevant information on a set of timelines.
• Built a Feedback index, storing feedback sessions and citations to those
sessions, allowing users to retrieve relevant feedbacks based on a set of criteria
like search terms and size and visualizing them on the FeedbackVisualizer.
TESCO HSC | SOFTWARE ENGINEER
Aug 2014 – Mar 2015 | Bangalore, India
• Contributed to the development and testing of
the Transport API, unifying the delivery options of the various
services offered by Tesco, in order to reduce delivery times and costs.
• Built an analytical dashboard by collecting,
analyzing and visualizing the transport data of Tesco’s delivery vans
and grocery stores, to investigate the stores with delivery issues.
SCHNEIDER ELECTRIC | SOFTWARE ENGINEERING INTERN
Jan 2014 – May 2014 | Bangalore, India
• Designed, developed and integrated a theme editor to provide
customizability for ‘Imagine’, a human machine interaction
IDE.
RESEARCH
SUSTAINABLE ENGINEERING LAB | COLUMBIA UNIVERSITY
Jan 2016 – Present | New York, NY
Undertaking a quantitative comparison of widely available geo-spatial population
models, such as LandScan, WorldPop and CIESIN GPWv4, to provide insight into
population density and settlement patterns, especially in parts of North-West
Nigeria.
PROJECTS
INDUCED SEISMICITY IDENTIFIER
Mar 2016 – May 2016
Taking the USGS stream of earthquake data along with active injection wells data for
the US, a NodeJS web server identifies an earthquake as either man-made or natural,
based on temporal and spatial factors.
TWEET-MAP
Oct 2015 – Nov 2015
Real time sentiment analysis and visualization of stream of Twitter data, filtered by a
set of keywords and displaying the trends and locations, for a set of categories.
INFORMATION RETRIEVAL SYSTEM
Sep 2015 – Oct 2015
Implemented an information retrieval system that exploits user-provided relevance
feedback to improve the search results returned by Bing. The relevance feedback
mechanism is described in Singhal: Modern Information Retrieval: A Brief Overview,
IEEE Data Engineering Bulletin, 2001.

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SauravJain

  • 1. Saurav Jainhttps://www.linkedin.com/in/sauravjain92 sj2726@columbia.edu | 347.819.3711 EDUCATION COLUMBIA UNIVERSITY MS IN COMPUTER SCIENCE MACHINE LEARNING TRACK Expected Dec 2016 | New York, NY MANIPAL UNIVERSITY BE IN COMPUTER SCIENCE AND ENGINEERING May 2014 | Manipal, India LINKS Github://sauravj LinkedIn://sauravjain92 Twitter://@sauravj COURSEWORK GRADUATE Machine Learning Cloud Computing and Big Data Advanced Database Systems Database System Implementation Analysis of Algorithms Storytelling with Streaming Data From Data to Solutions UNDERGRADUATE Operating Systems Data Structures Neural Networks and Fuzzy Logic Software Engineering Computer Graphics Distributed Systems Language Processors Computer Networks SKILLS PROGRAMMING Python • JavaScript • Go C++ • C# • Java TOOLS AWS • Hadoop • Git MongoDB • Flask • Matlab WEB Node.js • HTML • CSS D3.js • Jinja2 • MySQL EXPERIENCE APPLE INC. | SOFTWARE ENGINEERING INTERN Jun 2016 - Sep 2016 | San Francisco, CA • As a member of the Siri Search team, developed FeedbackVisualizer, a tool which visualizes user activity and server decisions, in the Spotlight and Safari apps on iOS and macOS, and displays relevant information on a set of timelines. • Built a Feedback index, storing feedback sessions and citations to those sessions, allowing users to retrieve relevant feedbacks based on a set of criteria like search terms and size and visualizing them on the FeedbackVisualizer. TESCO HSC | SOFTWARE ENGINEER Aug 2014 – Mar 2015 | Bangalore, India • Contributed to the development and testing of the Transport API, unifying the delivery options of the various services offered by Tesco, in order to reduce delivery times and costs. • Built an analytical dashboard by collecting, analyzing and visualizing the transport data of Tesco’s delivery vans and grocery stores, to investigate the stores with delivery issues. SCHNEIDER ELECTRIC | SOFTWARE ENGINEERING INTERN Jan 2014 – May 2014 | Bangalore, India • Designed, developed and integrated a theme editor to provide customizability for ‘Imagine’, a human machine interaction IDE. RESEARCH SUSTAINABLE ENGINEERING LAB | COLUMBIA UNIVERSITY Jan 2016 – Present | New York, NY Undertaking a quantitative comparison of widely available geo-spatial population models, such as LandScan, WorldPop and CIESIN GPWv4, to provide insight into population density and settlement patterns, especially in parts of North-West Nigeria. PROJECTS INDUCED SEISMICITY IDENTIFIER Mar 2016 – May 2016 Taking the USGS stream of earthquake data along with active injection wells data for the US, a NodeJS web server identifies an earthquake as either man-made or natural, based on temporal and spatial factors. TWEET-MAP Oct 2015 – Nov 2015 Real time sentiment analysis and visualization of stream of Twitter data, filtered by a set of keywords and displaying the trends and locations, for a set of categories. INFORMATION RETRIEVAL SYSTEM Sep 2015 – Oct 2015 Implemented an information retrieval system that exploits user-provided relevance feedback to improve the search results returned by Bing. The relevance feedback mechanism is described in Singhal: Modern Information Retrieval: A Brief Overview, IEEE Data Engineering Bulletin, 2001.