Create new commercial opportunities
Research markets and segments, speak with prospects, understand pain points and buying triggers, map potential partners and turn promising signals into focused outreach or pilots.
I help companies find new ways to grow, establish new commercial opportunities and generate higher revenue. When the problem is in the product, the funnel, the data or the underlying process, I can go there too.
My background spans finance, partnerships, analytics, data engineering, product growth and entrepreneurship. That range lets me understand the business question first and then use the right tools to solve it.
Sometimes that means talking to prospects and opening a new market. Sometimes it means fixing a conversion problem, building better measurement, analysing a large dataset or automating expensive work. The common thread is simple: the work needs to create measurable value.
My strongest work usually sits between functions — where the problem is important, but no single team or discipline has the whole answer.
Research markets and segments, speak with prospects, understand pain points and buying triggers, map potential partners and turn promising signals into focused outreach or pilots.
Use behavioural and commercial data to identify friction in funnels, payments, customer journeys and digital experiences, then prioritise the changes most likely to improve conversion.
Connect customer, revenue, market, product and operational data so teams can understand what is happening, why it matters and what to do next.
Use Python, SQL, APIs, BigQuery and automation when the bottleneck is manual work, fragmented data, recurring cost or a process that does not scale.
I did not start in marketing. I started by learning how companies make money, how risk is evaluated and how decisions are made. Then I moved deeper into data, engineering, product and growth.
See full experience, recommendations & education →I work on commercial and product growth problems across transport: conversion funnels, payment acceptance, customer journeys, experimentation, analytics, partner needs and technical performance.
I built financial and operational reporting for management, created analytical models and data layers, and designed controls that made complex financial information easier to act on.
I moved from finance into business intelligence, Python, data engineering and machine learning. I built APIs, pipelines and reporting systems for global teams and reduced one cloud-processing workflow's cost by about 90% through a technical redesign.
I started my career analysing companies, credit, operational risk, distressed transactions and repayment capacity — a foundation that still shapes how I think about commercial decisions today.
I founded Yeelen to help local businesses and independent entrepreneurs build a stronger digital presence and become easier to discover online. Building something myself keeps me close to customer acquisition, pricing, product decisions, distribution and the daily constraints that smaller businesses face.
That matters to my professional work too: I care about solutions that are useful in the real world, not only technically correct.
I am comfortable talking to commercial teams, prospects, analysts and engineers — and translating between them.
I prefer evidence over assumptions: customer conversations, behavioural data, market signals and financial impact.
I can move from diagnosis into execution instead of stopping at a strategy deck.
Tell me what you are trying to achieve. We can use 20 minutes to understand the context, exchange ideas and see whether there is a useful way for me to contribute.