Avanced Data Science Projects

##Final Project: Flight delay is a challenging problem for all airline companies, which will lead to ●Financial losses and customer satisfaction ●Negative impact on their business reputation.

##Technology Used: BackEnd: Java(Spring and Hibernate) FrontEnd: Javascript, Bootstrap, JQuery, CSS Imformation exchange: Restful webservice. Machine learning algorithm hosted on Azure and Web application hosted on AWS. Statistical analysis on Tableau, integrated in web application.

##Additional Feature: • Implemented machine learning algorithm for Flight delay prediction with 4.7GB BTS dataset for 2014-2015 using Azure. • Twitter and Vowpal Wabbit (Fast learning) sentiment analysis by crawling tweets and published Tableau dashboard for analysis.

##Outcomes: Predicting flight delay in mins of Airline based on user inputs. Classify flight cancellation. Sentiment analysis of twitter.