Henry Marais

Analysed and interpreted financial trading comparables and transaction datasets to support valuation frameworks used by M&A advisors and financial analysts. Developed and executed test cases to enhance AI-driven valuation algorithms, improving the accuracy and reliability of automated financial modelling tools. Designed and optimised SQL queries and Python-based workflows to process large financial datasets and integrate them into valuation platforms. Programmed financial projections and calculation modules that generate structured outputs and exportable datasets used in valuation reports and advisory deliverables. Created client-ready PowerPoint presentations and report exports translating quantitative outputs into clear visual materials for advisory teams and external clients. Played a key role in supporting the expansion of the company's South American client base by adapting outputs and deliverables to regional market requirements and assisting with client-facing analytical materials.

Solo interdisciplinary project developing a structured framework for assessing the implementation feasibility of tidal turbines, combining efficiency analysis, environmental constraints, and financial modelling. Demonstrated proficiency in forecasting, segmentation, engineering technical and scenario analysis — highly transferable skills.