Supriya N P has a M.S. in Data Science from USC and is currently doing directed research under Professor Saty Raghavachary to develop a deep learning model to recognize buildings using TensorFlow. She has a B.S. in Information Science from M S Ramaiah Institute of Technology. Her skills include Python, C, C++, Java, R, data structures, algorithms and machine learning. She has work experience as a Software Designer at Hewlett Packard Enterprise Research developing Python scripts and as an Associate Intern at Robert Bosch Engineering developing an employee assessment tool using Java Vaadin framework.

1. Supriya N P
2356 Portland Street, Apt 6, Los Angeles, California 90007, USA
nallapet@usc.edu ● +1 (510) 945-9071 ● https://in.linkedin.com/in/supriya-np-404a2b4b
EDUCATION University of Southern California August 2016 – May 2018
M.S. in Data Science - Cumulative GPA: 3.85 / 4.00
■ Coursework: Natural Language Processing, Foundations of Artificial Intelligence, Analysis of
Algorithms, Database Systems
■ Currently doing Directed Research under Professor Saty Raghavachary to develop a Deep Learning model
that can recognize the buildings inside USC campus from live camera using TensorFlow
■ CSCI-585 Database Systems course grader for Spring 2017
M S Ramaiah Institute of Technology August 2010 – May 2014
B.S. in Information Science - Cumulative GPA: 3.74 / 4.00
■ Coursework: Data Mining, Data Structures, Algorithms, Software Design Patterns, Computer
Architecture, Operating Systems, Computer Networks, Database Management System
SKILLS ■ Programming Languages: Python, C, C++, Java, R
■ Subjects of Interest: Data Structures, Algorithms, Machine Learning
EXPERIENCE Hewlett Packard Enterprise Research and Development, Bengaluru, India
Software Designer July 2014 – July 2016
■ Technology used: Python, Openstack, Oracle, SQL
■ Developed python scripts to automate various database administrative tasks of MySQL and Oracle
databases for Database and Middleware Automation(DMA) product
■ Solved the requests for customization of Oracle scripts from enterprise customers like Citibank, Lloyds,
UBS, DTCC, Wells Fargo single-handedly
Robert Bosch Engineering and Business Solutions Limited, Bengaluru, India
Associate Intern January 2014 – June 2014
■ Technology used: Java Vaadin framework
■ Developed an internal Employee Assessment tool (MEG)
PROJECTS Secure Deduplication and Proof of Ownership(PoW) Scheme
http://medwelljournals.com/abstract/?doi=ajit.2016.3801.3809
■ Technology used: OpenStack(Juno), python-swiftclient and Rest API
■ Implemented a trusted entity which provides Secured Deduplication through Convergent Encryption
between Openstack Swift and the users to prevent the client-side duplication
■ Attained significant improvements in the upload bandwidth and the usage of storage space
SNA of FOSS Ecosystem
■ Technology Used: R
■ Analysed terabytes of data representing developer-developer relationships of SourceForge.net using
various algorithms and evaluated the performance based on accuracy
■ Used Link Prediction and Frequent Subgraph Mining algorithms and predicted the probable future
interactions among developers and identified new trends
■ Applied the principle of graph-within concept and formed the clusters of developers with common
interests and classified them based on trends
■ Received Best Project Award for this work from M S Ramaiah Institue of Technology
CO-CURRICULAR
WORK
■ Coursera courses: The Data Scientist’s Toolbox, R Programming, Machine Learning Foundations: A
Case Study Approach
■ Windows Application Developer intern at Nokia (2012)
■ Completed Web Development course offered by Udacity with proficiency
■ Received Co-curricular Achiever Award from M S Ramaiah Institute of Technology
■ Finalist in puzzling competition held at IISc (CSA dept.) among 200 students
■ Coordinator of IEEE and Class Representative at MSRIT