SONA NATHANI

Working at Larsen & Toubro Infotech
Studied at California State University East
Living in United States

About

I am a person who loves to solve problems. Solutions focussing on key results. I have worked with amazing teams and have enjoyed many positions throughout my career in project management, technical, software consulting, engineering and strategy. My personal and professional experience have taught me that I love to win , but helping the team win gives me greater joy. I tell great narratives that motivate. I stay calm when faced with adversity. I am constantly learning because I never settle. I enjoy meeting new people and hearing new perspectives

Experience
Experienced Data Engineer with a demonstrated history of working in the information technology and services industry. Skilled in SQL, R, ETL Tools, Python (Programming Language), and Microsoft Excel. Strong information technology professional with a Master's degree focused in Business Analytics from California State University - East Bay.
Projects
Disneyland Paris, is owned by The Walt Disney Company through subsidiary Euro Disney S.C.A. The resort covers 4,800 acres (19 km2) and encompasses two theme parks, many resort hotels, a shopping, dining, and entertainment complex, and a golf course, in addition to several additional recreational and entertainment venues. Disneyland Park is the original theme park of the complex, opening with the resort on 12 April 1992. A second theme park, Walt Disney Studios Park, opened in 2002.

The main goal of the project is to fetch Disneyland Paris’s Facebook reviews to analyze the positive and negative comments. The project only aims to consider the reviews from 2012 to 2017 and only consider the reviews given in English language.This project mainly aims to let the Disneyland’s management to know the overall view of the visitors about the park and help them to fix any unknown or unnoticed issues which are feasible for them and also help them to improve the visitor’s liking which may persuade the visitors to visit the park more frequently.The Facebook reviews are mined using these text mining methods - sentiment analysis, text classification, and topic modelling to review the ratings, visualization of positive and negative reviews over a period of 5 years (2012-2017). Word cloud is also used to determine the frequency of words used in the reviews and to measure the positivity and negativity of those reviews.