Responsible for the creation and maintenance of automated data pipelines, BAU reporting and adhoc analyses. Thought leader in Machine Learning and Business Intelligence for local teams.

Responsible for the expansion and optimisation of data and data pipeline architecture, with a focus on data flow and collection for cross functional teams within the Consumer Operations organisation.Lead for a team of saavy specialists to ensure timely and accurate reporting for stakeholders within the Asia Pacific region.

Responsible for the timely and accurate delivery of topline revenue reporting and analysis through interfacing with multiple stakeholders and systems.Provided thought leadership on legacy Starwood systems & data, particularly in the implementation of Tableau as a reporting and analysis platform for the Continent.

Responsible for the timely and accurate reporting of room-related performance metrics. This is achieved via closely interacting with the data pipeline, from source systems to production dashboards.Most notably created a framework for managing transactional-level data that automatically feeds into dashboards with minimal user intervention. These are used by corporate teams to drive a combined sales & marketing strategy.Additionally, executed the implementation of Tableau software within the divisional organisation, and provided follow-on internal support.

Initiated work on the design and creation of a data collection and analysis framework as part of the liquidity risk team in the Financial Risk Supervision division. This was achieved via the synthesis of the results of previously initiated projects as well as academic research on relevant topics.The framework was commissioned on the basis of serving as the groundwork for an ongoing project. The project aims to strengthen the liquidity risk monitoring processes of the central bank, in relation to the liquidity health of the local finance industry.

Administered the daily update of regional sales performance and operations data in the Asia Pacific region. This data was then disseminated to revenue management (RM) teams both within the region and beyond, via reports that were developed as collaborative projects within the division.Spearheaded projects to improve RM functions in the Asia Pacific division, improving operational efficiency and data transparency. These projects were initiated through discussions with RM teammates, and brought to fruition through the development of new reporting templates and tools in Microsoft Excel.