− Modelled renewable energy and electric vehicle country-level forecasted data in Excel and interpreted results to assess portfolio exposures− Conducted quantitative macroeconomic research & developed Python code to analyse aggregated data for various climate change indicators− Built slide deck summarizing Energy Transition & Climate Change (ETCC) scenarios and key themes to inform investment team decisions

- Validated and analysed Energy sector data within R&D survey (RDCI) and built financial models relating to R&D expenditures using Excel- Produced report on Energy R&D industry trends using Power BI for the Director of the Investment, Science and Technology Division- Managed 3-person team developing in-house Python web scraping model using SR&ED tax credit data to identify emerging R&D hubs within Canada

- Assisted in the construction of the Science and Innovation Composite Index, a macro-level ranking of African Union member states to assess economic/scientific/innovation progress- Contributed statistical research to policy paper outlining strategies on digitalizing African economies in collaboration with the OECD- Contributed statistical research to pan-African gender survey in STEM in collaboration with the UNESCO SAGA project- Ranking and policy paper later presented at OECD Going Digital Summit (Paris, 2019) & Transform Africa Summit (Kigali, 2019)

- Assisted in the development of R&D surveys (RDCI & RDNP) and validated and analysed survey results using Excel and IBSP- Built imputation tool using Excel and historical survey data to calculate predicted values for survey non-respondents- Led social media initiative through Twitter to increase visibility and reach of published R&D survey data for journalists and academics

- Produced and presented analysis reports on post-training survey data using SAP software for training clients and senior management