By day I'm a market analyst at Zespri (global kiwifruit brand). Here, I use the same approach to help small businesses make clearer decisions about prices, menus, and locations.
Small, focused tools you can use right away — each built around one clear question.
Question
Where in my city are people actually searching for cafés like mine?
What it is
A simple heatmap that combines Google review density + competitor clustering to show hotspots and gaps on your street or neighbourhood.
What you get
A clear picture of where demand is high, where competition is low, and where to focus your marketing or next location.
Question
Are my busy hours actually profitable?
What it is
A small calculator using your average ticket, seat-time patterns, and opening hours to highlight which hours are profitable and which are dead weight.
What you get
Clear recommendations for peak-time pricing, staffing, or reducing low-value hours.
Question
Which items on my menu are helping me — and which are quietly draining revenue?
What it is
A one-page view that ranks items by sales × margin × prep time.
What you get
Which items to keep, raise, shrink, or remove — without doing a full menu engineering project.
I'm a market and data analyst who turns analysis into small, usable tools, so you don't have to dig through endless charts to decide what to do next.
I've designed reporting and dashboard setups used by 100+ stakeholders across 15+ markets, and built category and performance views that help teams see where they're losing momentum, underpricing, or missing obvious levers. The same approach powers my self-initiated projects on local businesses, where a single clear tool can already change how owners think about their numbers.
In every case, the offer is the same: start from real market and performance data → build one focused tool → make it easy to spot a few high-impact gaps or options.
A few small tools that show how I turn messy data into clear next moves for cafés and local shops.
Question
Which cafés in Leuven are actually worth crossing town for?
What I built
A small decision tool that pulls public data on cafés, scores each one on quality and convenience (rating × reviews × travel friction), and plots them on an interactive map.
What you can see / decide
Quickly spot "must-visit" cafés and neighbourhoods that are underserved — the same logic you'd use to explore white-space in a retail market.
Question
What happens to my revenue if I adjust prices on just a few key items?
What I built
A simple calculator that lets a café test price and portion changes on 5–10 core items, using their current sales mix to estimate impact on revenue and average ticket.
What you can see / decide
See whether a small price change closes your revenue gap or risks scaring off customers, before you touch the actual menu.
Zespri International
Aug 2022 - Present
Stanley/SKIL
Jan 2021 - Mar 2022 · 1 yr 3 mos
RetailZoom
May 2019 - Apr 2021 · 2 yrs
with Marketing Minor
Advanced graduate program combining rigorous data science methodologies with strategic marketing analytics. Developed expertise in statistical modeling, machine learning, and consumer behavior analysis, enabling data-driven marketing strategies and business intelligence solutions. Coursework emphasized the intersection of quantitative analysis and market insights, preparing for roles that bridge technical analytics with business strategy.
Interested in discussing data analytics, market insights, or potential collaborations? I'd love to hear from you.