Revenue &
Profitability
Improve growth, margin and EBITDA by finding the commercial and financial decisions that matter most.
Grow revenue. Improve EBITDA. Transform operations.
I help organizations improve business performance by combining commercial strategy, hands-on data science, enterprise AI, and operational transformation — from pricing and forecasting to redesigned workflows and measurable results.
See selected resultsDifferent sectors and technologies, one consistent purpose: improve how a business performs. The work spans commercial economics, analytical depth and real operational change.
Improve growth, margin and EBITDA by finding the commercial and financial decisions that matter most.
Turn data, predictive models and enterprise AI into trusted decisions and useful capabilities inside the organization.
Redesign processes, operating models and workflows so strategy and intelligence produce measurable improvement.
Selected outcomes from commercial leadership, machine learning, and executive decision support — across different industries, with the same focus on measurable value.
Production ML forecasting for RSI / Burger King restaurants and distribution centers.
Vodafone customer investment, pricing, channel strategy, and device revenue management.
Digicel CEO/CFO decision support, revenue management, forecasting, and KPI systems.
Groupon EMEA marketing investment analysis, revenue uplift, and margin improvement.
Work across telecom, digital commerce, restaurant operations, healthcare, technology and international markets — connecting pricing, forecasting, data science, profitability, and operating decisions.
My background crosses telecom, global commerce, restaurant operations, healthcare, technology and independent advisory. That breadth is an advantage when the business challenge requires more than a dashboard, model or strategy presentation.
Revenue management, customer economics, forecasting and executive action plans across international businesses.
Hands-on modeling, production forecasting, executive analytics and decision support in complex operating environments.
Leading cross-functional initiatives across AI strategy, data governance, workflow redesign and adoption in healthcare — always connecting the work to operational and financial value.
A short deck covering AI adoption, trusted data, forecasting, revenue optimization, KPI systems and executive decision support — the principles behind the work.
The deck is a perspective, not a substitute for a conversation about your business.
The entry point may be revenue, margin, a forecast, an AI opportunity or an inefficient process. The goal is to diagnose the real driver, build the right solution and make the result measurable.
I help leaders move from symptoms and disconnected analysis to decisions, owners, better operating processes and a practical way to measure improvement.
The disciplines needed to take a problem from financial diagnosis to intelligence, redesign and delivery.
AI creates value only when the use cases, data, workflows, people, governance, and economics fit together. The same discipline applies to automation and advanced analytics.
Focused areas of work, organized around commercial value, applied intelligence, and enterprise change.
A closer look at the problems and operating environments behind the headline results.
Built production ML forecasting and improved new-product forecasting accuracy.
40% → 10% errorEvaluated ML models, supported Medicare cost-of-care and avoidable-utilization analysis, streamlined dashboards, and supported executive decision-making in healthcare.
High-stakes healthcareSupported pricing, device subsidies, channel strategy, customer investment, and future customer-value modeling.
+65% postpaid revenueLed pricing, commercial analytics, forecasting, churn reduction, revenue actions, EBITDA improvement, and action plans across island markets.
15 marketsSupported EMEA marketing leaders with ROI, attribution, budgeting, forecasting, channel mix, acquisition economics, and major investment decisions.
$25M campaign · ~20% upliftSelected examples of the environments and business challenges I have worked in.
Set up the first production machine-learning model and later several others supporting restaurants and distribution centers. Led promotional and new-product forecasting, including the Impossible Burger, reducing forecast errors from around 40% to 10% or less.
Evaluated Epic-embedded machine-learning and data science models, supported Medicare cost-of-care and avoidable-utilization analysis, streamlined dashboards, wrote complex SQL, and created COVID forecasting for wave, peak, timing, and resource planning.
Supported device subsidy, channel, procurement, marketing, and pricing decisions; modeled future customer revenue by device; reduced waste and black-market leakage; and helped increase postpaid revenue by 65% with about 30% increase in customer investment.
Led pricing, commercial analytics, KPI systems, reporting, forecasting, scenario analysis, budget optimization, capital allocation, churn reduction, revenue growth, EBITDA improvement, and board-level presentations across island markets.
Supported EMEA marketing leaders with ROI, attribution, budgeting, forecasting, channel mix, acquisition economics, and marketing investment decisions, including the business case for Groupon EMEA’s first TV campaign.
Built reporting structures for collections and payments where EMEA had little to no reporting. Automated reports, created best-practice documentation, and trained international teams.
Project-managed a country-wide business network upgrade, built product/speed availability databases, used network performance to support product and revenue optimization, consolidated 24 databases into one source of truth, and automated senior-leader reporting.
Worked across Europe, Switzerland, Central America, South America, Suriname, Guyana, the Caribbean, and U.S. healthcare, repeatedly translating complex performance problems into executive decisions.
Selected advisory work for CFOs, CEOs, business owners, and client organizations.
Supported the CFO on a KPI and reporting strategic-planning project, including direction for IT and database teams on reporting architecture and performance-management design.
Long-term engagement building CEO Power BI reporting, accessing databases, working with IT in Barcelona, identifying bottlenecks, improving business processes, and supporting revenue, cost, and operational performance decisions.
Consulting for restaurants, restaurant chains, and other client businesses, including revenue, profitability, process, operational, and strategic analysis.
Deep-dive analysis in a hurricane insurance-claims environment to identify business problems, profitable segments, revenue opportunities, process improvements, and strategic priorities.
Co-branding and positioning work related to MSC Cruises and Voiello/Costa, focused on transferring Italian and Neapolitan brand positioning.
Analysis for political parties in Italy on voter and politician positioning across left/right parties and competing political brands.
I have worked hands-on as a data scientist and can lead data science teams because I understand development, evaluation, deployment, adoption, governance, and business value.
The deliverable depends on the problem: commercial diagnosis, a forecasting model, an AI use-case plan, a redesigned process, or ongoing performance leadership.
The right starting point depends on the business challenge, not the latest tool.
Both, when appropriate. I start with the commercial or operational problem, then use analytics, data science, AI, process redesign, or leadership support where they create measurable value.
Yes. Revenue management, pricing, customer economics, forecasting, margin improvement and executive performance analysis are core parts of my experience.
Yes. My background includes hands-on modeling, production forecasting, model evaluation and leadership of technical work connected to business adoption.
Trusted metrics, definitions, ownership, data flows and executive reporting are often the starting point before an organization invests further in models or automation.
The approach connects business diagnosis to process mapping, workflow redesign, operating ownership, implementation support and measurement.
Yes. My experience spans telecom, commerce, restaurants, technology, healthcare and advisory work across multiple markets. I am based in South Florida and can work remotely.
Short themes from past feedback and leadership environments.
“Brings solutions, not just problems.”Recurring feedback from difficult performance and data environments
“Quickly understands the business problem and turns analysis into action.”Representative theme from CEO/CFO-facing advisory work
For executive advisory, performance transformation, AI strategy, commercial improvement, or leadership opportunities, start with a conversation.