Personal Projects

  1. Credit Card Fraud Detection
    • Predicted whether a credit card transaction is fraudulent or not.
    • Obtained 99.6% accuracy using ANN and sampling.
  2. Cancer Cell Classification
    • Predicted whether the cancer cell is benign or malignant.
    • Achieved 97% f1 score using Support Vector Classifier
  3. Restaurant Review Sentiment Analysis
    • Generated a bag-of-words model and used a classifier to tell whether the review is a positive one or not.
  4. Fashion Class Classification
    • Implemented Convolutional Neural Network model, to classify images of clothing, like sneakers, shirts in the Fashion-MNIST dataset.
    • Achieved 92% f1 score using CNN model.

Open Source Projects’ Contributions

  1. Founder and Administrator, Novice Paradigm
    • Started with an aim of helping the newcomers get started with Open Source.
    • Technology: C, C++, Python, Ruby

    i. PRs merged: 4
    ii. PRs reviewed: 40+
    iii. Issues created: 60+

  2. Member, Contributor team, Systers - AnitaB.org
    • Technology: HTML, CSS, JavaScript

    i. PR created: 5
    ii. PRs reviewed: 10
    ii. Issues created: 20+

  3. Member, Public Lab
    • Technology: HTML, CSS, Ruby on Rails

    i. PRs merged: 3 ii. Issues created: 2

  4. Member, WHATWG
    • Technology: HTML

    i. PRs merged: 3

  5. Member, coala newcomers team, coala
    • Technology: Python

    i. PRs merged: 2