Software Engineer II at Microsoft

Kritika Rupauliha  • Peerlist

Sentiment Analysis of Twitter data using Sentiment140 dataset. 

Sentiment Analysis

Research based project on using extractive methods to summarize articles. 

Text Summarization

Machine Learning model to predict the quality of red and white wine based on it's chemical properties


Wine Quality

Built a simple CBIR system which retrieves images given an output (image) using similarity criterions

Content Based Image Retrieval

Examined the performance of machine learning classification algorithms - logistic regression, random forest, decision tree on predicting the loan status

Loan Prediction

Scraped lyrics of 106 best-selling artists from azlyrics.com and applied NLP techniques like stemming, lemmatization to compare vocabulary of all the artists. The analysis of the lyrics gained some valuable insights. Plan on storytelling the insights.

Artist Vocabulary Comparison

Made a simple color game project as part of Web Developer Bootcamp by Colt Steele

Color Game Project

Made a scientific calculator using HTML, CSS and JavaScript as part of FreeCodeCamp curriculum

Scientifc Calculator

Did feature engineering on the data and applied machine learning classification algorithms to predict the survival of passengers on the Titanic