Working on a recommender system for jobs.

Generating insights out of data to inform Government policies, especially in the social and economic sectors. Mainly using R, with some python where necessary. Enjoy making insights simple and compelling with visuals and models, whichever is more applicable.

Conducted qualitative and quantitative analysis of supply, demand and pricing measures for the public housing marketConducted affordability analysis for HDB flats by considering incomes, expenditures, and availability of mortgage loans and grants to different population segments Designed a housing scheme to help low-income rental tenants progress onto homeownership. Defined and sized the target group, designed the pricing mechanism and projected the amount of subsidies incurredOrganized/facilitated a series of Housing Conversations of about 150 participants, and conducted a survey of 2,000 respondents to gather data on Singaporean’s housing preferences

Provided extensive economic analysis on a securities litigation case, including regression analysis to identify significant results, creating TAQ charts and analyzing holding period returnsManaged a large dataset for an accounting litigation case, tracking cash against accrual benefits and running t-tests to test differenceExtensive use of excel and bloomberg, with some experience in Stata

Conducted economic research on various countries and recommended engagement strategiesHelped organize the inaugural Africa Singapore Business Forum