I am a PhD Student and Research Assistant at University of North Texas. My research interests are Machine Learning, Natural Language Understanding and Generation. I have 4+ years of professional experience in Analysis, Design, Development, Implementation, and testing of various stand-alone and client-server architecture-based enterprise application software in python.
My favourite movie character is Batman and favourite director is Christopher Nolan. I like photography and travelling. Scroll down to know more about me and do connect to me on...
Improve the user experience for SIRI in India through developing on Speech Recognition, Natural language models and customize functionality for the Indian market.
Implemented Profiling, Analytics and visualizations from various sources using Python and PowerBI. Developed complex data scripts (Primarily SQL) for ETL and Data Warehousing.
Synthesized various MongoDB database queries from Python using MongoEngine and PyMongo, Used Pandas library for Statistical Analysis.
Developed an application where data sent from a defense application’s program to be stored and organized in an efficient manner according to the timing order received.
Created Python routines to log into the websites and fetch data for selected options. Handled business logics by backend Python programming to achieve optimal results.
we've built a neural network and use it to predict daily bike rental ridership. (Source code)
In this project, given an image of a dog, this algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.(Source code)
This project defines and trains a DCGAN on a dataset of faces. The goal is to get a generator network to generate new images of faces that look as realistic as possible.(Source code)
This project generates our own Seinfeld TV scripts using RNNs. Used part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network built will generate a new ,"fake" TV script, based on patterns it recognizes in this training data.(Source code)
Our goal will be to have a simple web page which a user can use to enter a movie review. The web page will then send the review off to our deployed model which will predict the sentiment of the entered review.(Source code)