Project Overview
The goal for this project was to develop insights into the contributing factors for both positive and negative customer reviews of a product or service. Analysing 60,000 customer reviews of airlines with a score between 1-10 on amenities such as seat comfort, cabin service, entertainment and value for money.
In this project I am using data analysis techniques to discover if certain amenity scores contribute to a negative or positive customer experience. This project implements and compares sentiment analysis techniques such as logistic regression, support vector machines and a recurring neural network on text documents. It also attempts to predict a customer's overall score based on the sentiment analysis performed on their written review of the airline and flight.
Target audiences for this project include customer and merchant focused organisations. The main technology used for this project will be Jupyter Notebook with Python. By using a notebook, the results of the code as well as some explanation in markdown text can be performed. For machine learning, the main model will be the use of TF-IDF and a Support Vector Machine (SVM).
Technologies Used
Python, Anaconda / Jupyter Notebook, Support Vector Machine (SVM) Model
Personal Bio
6 months experience working at Mastercard as an intern in the database engineering team writing Ruby code to automate a NoSQL Redis database setup. Also worked on other in-house tools used by engineers.
4th year B.S (honours) in Computer Science student specializing in Data Analytics with modules including Data Application Development, Intro to Artificial Intelligence, Advanced Databases, Advanced Programming, Web Application Development. QQi Level 5 & 6 in Software Development graduate with modules including OOP (Java), Relation Databases, Web Development, Software Architecture (Agile/Scrum), Project Management.
Practical experience as a web developer building a WordPress e-commerce sites. Strong in designing software systems and web development skills with experience using Java, HTML, JavaScript, CSS, Ruby, PHP and C# as well as Bitbucket, Git & Bash, VIM, Chef recipes and cookbooks and Ubuntu Linux.
Seeking graduate opportunities in data analytics, infrastructure engineering or software development.