SNEHA SRINIVASAN 1221 W 3rd ST Los Angeles, CA 90017 (614)-330-2022 snehasri@usc.edu

https://www.linkedin.com/in/sneha3091

OBJECTIVE: Seeking Spring 2017 Co-Op or Summer 2017 Full Time opportunities

EDUCATION

Master of Science, Computer Science(Data Science) GPA 3.4/4.0

University of Southern California, Viterbi School of Engineering, Los Angeles, CA Expected: May 2017

Core Courses: Machine Learning, Information Integration on the Web, Information Retrieval, Artificial Intelligence,

Analysis of Algorithms

Bachelor of Engineering, Information Science GPA 9.37/10.0

B.M.S College Of Engineering, Bangalore, India May 2013

CORE SKILLSET

Programming Languages: C, C++, Java, Python, Scala, R and PHP

Web Technologies: HTML5, CSS3, JavaScript, jQuery, XML, angular.js, node.js, Bootstrap & DHTMLX

OSS Toolkits/Projects: Apache Spark, Pig, Hive, Apache Hadoop

Operating Systems: Windows, Unix, Linux, Mac OS X

Database Systems: Oracle, MYSQL, DB2

Other: Agile Software Development, Subversion, Git, J2EE, Django, Octave, MATLAB

PROJECTS

Experts’ Question Answering Prediction for Quora like System Sept 2016 – Nov 2016

Analysed question metadata and user metadata to build recommendations for questions to be suggested to a user based

on his expertise and predicted probability of him answering the same. Used scikit-learn, pandas, graphlab and numpy.

Research: Machine Learning for Medical Applications August 2016 – Present

Analysing data sets from partner clinics using MATLAB, scikit-learn and pandas in Python to build models for

distinguishing certain types of Brain Disorders such as TBI from PTSD and Autism

Automatic Extraction of Planetary Science Literature Authors using Tika and Deep Dive January 2016 – June 2016

Worked with NASA JPL to extract latest target discoveries on Mars and their respective authors to build an

encyclopaedia

Using Python and Deep Dive – A Machine Learning tool to extract value from dark data

Web Search and Indexing using Page Rank Algorithm February 2016 – March 2016

Building a search agent for university website using SOLR and NetworkX to modify the default algorithm used by

Lucene and use Page Rank to build indexes in Python.

WORK EXPERIENCE

Machine Learning Engineer Intern June 2016 – Aug 2016

IBM Ltd, Research Triangle Park, Durham ,NC

Helped build a product recommendation model for IBM Digital Commerce using Machine Learning Techniques: K-

Means Clustering and Frequent Item Set Analysis to improve customer engagement in the Digital Marketing Platform

Technology Analyst July 2013 - May 2015

J.P Morgan Services India Pvt Ltd, Bangalore, India

Developed, maintained and enhanced Loan Workflow Systems within Wholesale Loan & Trade Finance Technology

using JAVA/J2EE and Web Technologies.

Improved the performance of a critical reconciliation system that interacts with third party trading systems.

Consolidated multiple loan workflow systems written using various languages and frameworks, while implementing

an improved architecture in angular.js and Spring using agile methodologies.

LEADERSHIP/ORGANIZATIONS

Member- Society of Women Engineers Fall 2015 – Present

Graduate Ambassador - USC Viterbi Office of Graduate and Professional Programs Fall 2015 – Spring 2016