I'm interested in the space where analytics, finance and business come together — turning information into insight and insight into action.
My academic journey combines
Finance, Business Intelligence
Analytics and Data Science.
Data Science taught me how to
work with data and build analytical
solutions. Finance taught me to
think about value, risk and returns.
Business Intelligence showed me how
analysis becomes useful when it
answers the questions businesses
actually care about.
Together, these experiences have
shaped how I approach problems:
understand the context, work with
the data, challenge assumptions and
translate the analysis into something
actionable.
I enjoy finding patterns, structuring information and using analytical tools to make complex datasets understandable.
Financial analysis gives me a framework for thinking about value, risk, returns and the economic logic behind decisions.
I care about the context behind the numbers — the process, customer, strategy or decision that the analysis is meant to improve.
I don't just want to know what the data says. I want to understand why it matters.
I like understanding how things work before trying to improve them.
I enjoy breaking ambiguous problems into structured questions and finding evidence in the data.
I care about whether an analysis actually helps someone make a better decision.
I value different perspectives and enjoy working across functions to solve problems.