Hello! I am

Swarupa Vijaykumar

About Me

I am an enthusiastic 2nd year student studying B.Tech in Computer Science at PES University, Bangalore, India. My intrests include Machine Learning (Natural Language Processing or NLP to be precise) and Quantum Computing.

My Education

PES University

2019-Present | B.Tech Computer Science
  • My Current SGPA is 9.29/10
  • I have actively volenteered in organising college fests like The Ameture Scientist, Aatmatrisha etc
  • I am currently one of the heads of QForest, the Quantum Computing club of college where I organise various meetups including IBM Qiskit's first meetup in India
  • I am also an active member of ACM Women, PES University Chapter

Sri Kumarans Children's Home

2017-2019 | CBSE Class 12, Science
  • I got 95% in my CBSE class 12 board exams
  • I represented the school in NPS Koramangala's Hackathon in 2017
  • I was the district level winner of Vidyarthi Vigyan Manthan and got selected for the state level camp

Bethany High School

2004-2017 | ICSE Class 10
  • My percentage in the Class 10 board exams was 94.8%
  • I was a member of the Bethany Student Organisation, the commitee of school leaders.
  • I was also a House Prefect and helped in organising various school events like carnivals, sports days etc.
  • I have actively taken part in sports and co-curricular activities like elocution, quiz, and debate in the inter-school level

My Key Skills

Machine Learning

C

Data Science

Tensor flow

Quantum Computing

JAVA

Python

IBM Qiskit

My projects

IT support tickets Classification using Conditional Random fields

The project involves the classification of It support ticket emails using Neural Netwoks layer called Conditional Random Fields or CRF.The project was implemented using Keras with Tensor flow backend

Link to the project github reository

Movie recommendation System using sentiment analysis

The project uses Natural Language Processing to perform sentiment analysis on various movie reviews and a movie score was given to each movie. Based on this score and the imdb reviews, movies were suggested to users. The recommender additionally given content based recommendation using cosine simmilarity.

Link to the project github reository

Detecting Social Events from Twitter and extracting its details

This is a group research project that we are doing under the Centre for Data Science and Applied Machine Learning, PES University. We have successfully developed a model using Machine Teaching and Deep learning techniques. A research paper on the topic is currently being written.

Reach Me At

Mobile No.
9944818257