Master of Science in Information Systems • Fall 2017 - Spring 2019
Course Work: Programming with Python, Information Security, Bigdata systems, Text Mining,
Database Systems, Data Modelling, Statistical Analysis, Business Analytics,
Supply Chain Management.
Extra-Curricular: Women Who Code, San Diego (Tech Lead for SDSU), Winner of Best
Speaker award at Toastmaster Internationals, Member of IEEE SDSU Chapter.
Honors and Recognition: Grace Hopper Celebration 2018 Scholar, Best Speaker award at
Toastmaster Internationals
Bachelor of Engineering in Electronics Engineering • Aug 2008 - May 2012
Course Work: Engineering Mathematics, Data Structures, Image processing and Machine Vision, Computer Networks and Security, Artificial Intelligence, Embedded Systems
Extra-Curricular: Member of women's volleyball team, Member of university robotics team, Member of IEEE student chapter.
In this project I analyzed social media comments to detects if a comment from any conversation can be considered insulting to another participant in the conversation. The idea is to create a generalizable binary classifier which can act near real-time mode.
In this project I try to predict the purchase prices of a product purchased by a customer based on historical purchase patterns. The data contained features like age, gender, marital status, categories of products purchased, city demographics etc. I am using Root Mean Square Error(RMSE) and Mean Absolute Error(MAE) metrics to evaluate the prediction accuracy.
I worked on this project during summer internship, where the task was to identify top aspects from a set of reviews. This would show what are top topics/words customer are talking about, and index comments related to those topics. Another task in the project was to identify words that correspond to customer sentiment for which I created custom association rules
This project was part of my master's coursework where we are trying to identify if a person is likely to make a reservation on AirBnB. The task here was to create a binary-classifier that can identify if the individual will go ahead making the reservation. This project was implemented in R.
This project was part of my text analytics class where I analyze the customer reviews to identify topics that have been mentioned about hotels. Along with the topics I am also identifying the sentiments of the reviews that allow me to correlate if the topic was positive or negative.
This project was part of my computational corpus lingusitics course where I have analyzed the reviews on yelp to check lexical diversity in the corpus, words frequency analysis. I applied technqiues such as sentence segementation and tokenization, Part of Speech tagging (POS), dependency parsing and Named Entity Recognition (NER).
Women Who Code is a global non-profit organization of women which is dedicated to inspiring women to excel in technology careers. I am Lead at WWCode San Diego chapter and involved in organizing events and meetups for women students at universities.
Even with ipads and kindles I enjoy reading a paperback with a cup of coffee. I read biographies and realistic fictions and some of my
favorites are Wings of Fire, The Alchemist, and of course Harry Potter.
I am also trying my hands at writing but just getting started. Check my blog in more section
Guru Granth Sahib is the holy book of Sikhs and is considered as one of the Guru. The hymns and poetries from Guru Granth Sahib lay down moral and ethical rules for the development of the soul, spiritual salvation and unity. Hearing these hymns strengthen me and help me rejuvenate.
The Grace Hopper Celebration of Women in Computing is a series of conferences designed to bring the research and career interests of women in computing to the forefront. It is the world's largest gathering of women in computing.I have been awarded as Anita Borg Grace Hopper 2018 Scholar.
