These are my core analytical values, and I strive to imbue them in all of the work I do. I've always been drawn to the idea of data being told as a story, something that everyone can look at and easily understand. Simplifying things that have been made unnecessarily complex is a practice I love and resides in my core. Collaborating with different teams to help them understand each other and work as a single unit gives me energy. I like thinking big, working fast, yet carefully, holistically, looking at the overarching business problem, and zooming in on the data details. I'm always improving, growing, and executing to the highest standard possible. All while achieving a larger mission, making sure that technical tools serve the people using them, and ensuring organisations waste no time or money on the wrong solutions.

I got my start in data analysis through an internship where I realised I had a natural flair for translating technical details into clear logic. Over time, I evolved to focus on business analytics, specialising in requirements engineering, core programming, and generative AI frameworks. Leveraging my analytical foundation and deep stakeholder empathy, I've established myself as a well-rounded business analyst professional who ensures projects deliver true value at every step: from mapping workflows and building business cases, to structuring predictive models and automated data pipelines. My insatiable curiosity, practical approach, and adaptability enable me to give stakeholders total confidence in their decisions within our ever-changing digital environment.