At Offerwise, I lead a team of four and deliver reporting to managers across more than 10 countries. I defined operations and billing KPIs that give country managers and C-level executives a shared view of performance.
I built a quotation demand forecasting model that cut forecast error to about 4%, compared with 10–13% for the alternatives tested. It’s now used to set commercial targets and anticipate revenue by country.
For Marketing, I built a recruitment planning product that forecasts daily demand and recommends media budget allocation. It’s in production and cut forecast error by 42% in Brazil and 40% in Mexico.
I also built a revenue forecasting web app that gives Finance and Operations an auditable, real-time view of the month’s revenue, with confidence ranges and live simulation. I’m pursuing an MSc in Statistics at UFMG.
