Kanimozhi

Greetings from Kani,

I am a Graduate Student in Computer Science Department.

I also worked as a Research Assistant during my graduate studies.

Avid Reader, Programming enthusiast, Zealous learner & worker

Passionate Researcher

About Me

Hello Visitor

I am a Computer Science Graduate Student at Marshall University, WV, United States, actively seeking a full time position. Please find my Resume (pdf) on this page.

I also worked as a Research Assistant during my graduate studies.

I am very interested in learning about new technologies & programming languages.

My quest for knowledge led me to do some small interesting projects which I have listed on the following page. As a part of graduate studies, I did a thesis on Google Play Store Reviews.

My master's thesis involved performing analysis on the User Reviews collected from Drone Apps of Google Play Store (What People Complain about Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews) and I have also published a conference paper regarding the same.

Learning is a never-ending process in Life.

As Albert Einstein said, "Wisdom is not a product of schooling but of the lifelong attempt to acquire it".

Keep Exploring the World.

Kanimozhi Kalaichelvan

Jan 3, 2020
1 min

TECHNICAL SKILLS

I am a 2019 Computer Science Graduate, actively in search of an exciting career opportunity. I have listed my technical skills acquired...

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My Projects

MySQL Database Project ;
Maze Solver Project ;
Greenhouse Monitoring using IoT & Cloud;
Web Crawler using Python ;
Cloud Web-App using Flask & Python ;
Algorithm codes ( Java code) ;
Command Line Tic Tac Toe game using Python .

Master's Thesis :

What People Complain about Drone Apps? A Large-Scale Empirical Study of Google Play Store Reviews

I conducted research on Drone or UAV related Mobile apps.
My master's thesis involved performing analysis on the User Reviews collected from Drone-Related Apps of Google Play Store Platform.
I have performed both Exploratory as well as Descriptive Analytics on User Reviews, Ratings & other app attributes.
Apart from the thesis scope, I also developed Machine learning algorithms to perform automatic classification of User Reviews into their corresponding complaint types, achieving a precision and recall greater than 80% for every complaint category.
I have also published a conference paper regarding the same.