Pranita Sharma

Graduate Student in Computer Science

NC State University

Hi !

I am currently a Graduate student in Computer Science at NC State University. I have 2 years of industry experience at Mphasis R & D NEXT Labs. I was selected among top 10 across the country to win an internship at the NEXT Labs. During the tenure, I have been involved in Machine Learning, NLP, Distributed and Parallel Platforms. I also presented figment of my work at Woman Who Code Conference 2017, Bangalore,India.

I have primarily work with Python and R languages, AWS and Apache Spark. In my free time, I like to paint, water color being my favourite medium. I am particularly inspired by Joyce Faulknor and her work in painting cut crystal and glass.

Interests

Artificial Intelligence
Distributed and Parallel Platforms
Information Retrieval
Machine Learning

Education

M.S. in Computer Science, 2017

North Carolina State University
B.E. in Computer Science, 2011

Jawaharlal Nehru Engineering College

Blog posts

Aug 20, 2018 2 min read

Culmination of GSoC

Tasks accomplished

Aug 8, 2018 2 min read

Every end is a new beginning

Final phase of GSoC

Jul 30, 2018 2 min read

Survive the (Travis) test of time

Continuous integration with Travis

Jul 11, 2018 2 min read

Out with the old, in with the new

Python 2 vs Python 3

Jul 8, 2018 3 min read

Peculiar Case of Environments

Searching within environments

Jun 11, 2018 3 min read

Pursuit of Python

Search Python in Windows

May 20, 2018 2 min read

Power of Reticulate

Sync R API with Python API

May 5, 2018 2 min read

Google Summer of Code 2018

Project selection for NumFocus organization

Work Experience

Mphasis, R & D, NEXT Labs

Software Engineer, December 2015 - August 2017

Optimized algorithms using distributed framework (Apache Spark) and R programming language which resulted in decreasing the execution time by 20 folds
Migration of analytic solutions to cloud based platforms (AWS) for production level
Developed algorithm based on Natural Language Processing for Cognitive Computing Platform
Automation of Amazon Web Services based solutions for interaction between EC2, S3 and local servers for synchronization
Created a functional user interface oriented workflow for NLP algorithms for identifying the best sequence of algorithms for different datasets
Built Random Walk based automata algorithm for Pattern Extraction from sequence data

Mphasis, R & D, NEXT Labs

Intern, July 2015 - September 2015

Developed GUI using Python for automation of data collection and processing for further analytic models
Execution and preparation of data for descriptive analysis and visualization.
Optimize algorithms using Distributed and Parallel computing on cloud – based platforms