About Me

I work at the intersection of Data Analysis, Business Intelligence and Business Analysis, combining an engineering problem-solving foundation with applied experience in reporting, operations and decision support.

I completed the LSE Data Analytics Career Accelerator with Distinction, including an employer-sponsored project involving data preparation, statistical analysis, modelling and visual communication. This strengthened my ability to approach complex questions systematically and communicate findings to different audiences.

From March 2024 to July 2026, I worked at Ark Blake Academy through Reeson Education, where my role evolved from learning support into assessment, reporting and operational data responsibilities. I supported stakeholders across inclusion, curriculum, examinations and teaching teams, translating raw information into trackers, summaries and practical next steps.

Through the Placemently fraud analytics programme, I have been developing experience in feature engineering, model evaluation, risk analysis, threshold testing and dashboard monitoring. I use AI as an enabling tool for research, documentation, code review and analytical quality assurance—not as a replacement for judgement or validation.

My goal is to help organisations connect stakeholder needs, reliable data, clear BI outputs and responsible AI so that decisions can be made with greater confidence.