Singapore
A Data Professional with 7 years of experience in the Hospitality Industry, crunching and analysing data. I use Python, MongoDB, Tableau, SQL, Notion and am skilled in Statistics, Data Wrangling, Data Visualisation, Machine Learning and Deep Learning Models. My email: ([email protected]) I have spearheaded projects, led in product performance analysis that supported budgeting, forecasting and strategic planning. I have also developed SOPs and successfully implemented solutions to improve work efficiencies and supported decision making process of the hotel's COVID strategy. I started my career in Hospitality managing e-commerce platforms as a Distribution Executive, then a Revenue Analyst which kick-started my love for data and analysis. I have been promoted to an Assistant Revenue Manager during my stint at the hotel for my contribution and good performance. During this time, I have contributed to the organisation revenue growth year-on-year and have been involved in the migration of the hotel's system during early 2019. I am a firm believer that knowledge is power and in business taking risk is necessary to stand out from other competitions and the proper way to take risk is to take a calculated risk backed sufficiently by data.
Distribution of negotiated corporate rates on GDS channels; Galileo, Sabre, Amadeus and Worldspan.