Intro

Hi, kavya here,
I ❤️ Data ( Data Science/Machine learning enthusiast ) Self-motivated, Collaborative and Passionate Computer Science Engineer.

• I am Pursuing B.Tech with Specialization in Computer Science and Data Science at PES University

• I had been part of Microsoft Corporation as a Machine Learning intern, Hewlett Packard Enterprise as Project Intern, Amazon as ACMS Mentee and Manthan Analytics as Aritificial Intelligence intern.

• Accomplished several courses related to Data Science and Machine Learning and developed my skills by participating in various hackathons.

• There's nothing better than extracting insights and making better decisions with data.

• Key Skills: Python,Java,C,Machine Learning,Data Science,Deep Learning,Artificial Intelligence, Web Development, Data structures, Algorithms.

• I believe that "Constant Learning, Experimenting & Determination" are the main keys to be successful.
--

"The only thing I know Is to love what I'm doing
Never give up, never slow
'Til I finally prove it
Never listen to the no's
I just wanna keep moving "

--
My Portfolio : https://kavyakhatter.github.io/
My Github Profile: https://github.com/kavya76
My Medium Stories: https://medium.com/@kavyakhatter1999

Kavya Khatter

Experience

1. Artificial Intelligence Intern
Manthan Analytics (Bangalore)
May 2020 – Jun 2020

2. Project Intern
Hewlett Packard Enterprise (Bangalore)
Feb 2020 – July 2020

3. ACMS Mentee
Amazon (Bangalore)
Mar 2020 – June 2020

4. Machine Learning Intern
Microsoft Corporation (Bangalore)
Jun 2019 - Jul 2019

5. Research Intern
PES University (Bangalore)
Jun 2019 - Jun 2020

Projects

1. Abstractive Summarization Of Meeting Conversations(IEEE INOCON’20 Publication)
It focuses on the research of encapsulating meetings by abstractive summarizing it which is within the style of written dialogues
See Project

2. Automated Short Answer Grading System
It assigns a score out of 10 to every article with an average kappa score of 0.9 implemented using bidirectional LSTM
See Project

3. Restaurant Recommendation System
It recommends and predicts what kind of items the user may prefer either directly based on the dataset collected in the information collection phase or through the system’s observed activities of the user focussed majorly zomato Bangalore restaurants.
See Project

4. E-Commerce Website
Created a website using jquery, flask and SQLite as the database along with an inbuilt recommendation system for similar products and tested with performance, unit and system testing.
See Project

5. A Robotic arm that plays Rock Paper Scissors
This is done using flex sensors and Arduino microcontroller and motors with an assurance that the robot will always win.

6.Java compiler in c++
Implemented for,while,if,if-else and switch constructs for java in c++
See Project

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';

Lists

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