S
Strategy
Business diagnosis and executive direction.
Executive advisory and performance transformation
Clearer decisions. Better forecasts. Measurable business results.
I help business leaders turn messy data, weak forecasts, revenue/cost questions, and unclear performance into practical decisions people can trust.
STRStrategy + Revenue Management
Pricing, ARPU, customer economics, channel mix, margin, and growth.
FPAFP&A + Forecasting
Planning, scenarios, variance, CAPEX, and forecasts.
MLAI + Decision Support
Data science leadership, model adoption, and executive action.
Start with the problem
For non-technical visitors, this gives a faster way into the site without scrolling through every section.
I need clearer performance visibility
KPIs, reporting, trust in the numbers, and executive visibility.
I need revenue, cost, or forecasting support
Revenue management, FP&A, forecasting, cost-of-care, and action plans.
I want to discuss a specific situation
Schedule a focused 30-minute advisory conversation.
Core capabilities
Fast-scanning proof of where I create value.
$
Pricing
Revenue logic, customer economics, and mix.
R
Revenue Management
Pricing, ARPU, churn, marketing investment, channel mix, margin, and growth.
F
Forecasting
FP&A, scenarios, operational and ML forecasting.
K
KPI Systems
Trusted reporting and executive scorecards.
AI
AI / Data Science
Hands-on modeling and team leadership.
Selected results, at a glance
Concrete examples of revenue, forecasting, analytics, and executive decision-support impact.
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.
Experience across recognized brands and complex operating environments
Technology, foodservice, digital commerce, telecom, healthcare, and international markets. Revenue management experience spans telecom and digital commerce, including pricing, ARPU, churn, product availability, marketing investment, attribution, channel mix, margin, and growth.
Google
Burger King / RSI
Groupon EMEA
Vodafone
University of Miami Health System
Digicel
eir / eircom
For CEOs, CFOs, and leadership teams
Many businesses do not lack data. They lack trusted performance visibility, clear decision frameworks, reliable forecasts, and plans that connect strategy to execution.
Common situations I help solve
The goal is not to create more dashboards. The goal is to help leadership understand what is happening, why it is happening, what decisions matter, what to do next, and whether the plan is working.
Revenue management, pricing, margin, or customer trends are unclear
Forecasts are unreliable or disconnected from operations
Costs are rising without clear visibility
Dashboards exist, but they do not drive decisions
Teams do not trust the numbers
Data is fragmented across systems, tables, or departments
AI/data science exists, but adoption and business value are unclear
Leadership needs an action plan, not another analysis
What a consulting engagement can produce Concrete deliverables if someone wants to understand what they get. View
What a consulting engagement can produce
Clear deliverables for CEOs, CFOs, and leadership teams that need performance visibility and action, not vague strategy.
KPI diagnostic
Assessment of current KPIs, data sources, definitions, reporting gaps, and decision needs.
Executive performance pack
Leadership-ready views that summarize performance, variance, risks, and opportunities.
Revenue management review
Deep-dive analysis of pricing, ARPU, customer economics, marketing investment, attribution, channel performance, margin, and growth levers.
Forecasting and scenarios
Traditional forecasting, FP&A-style planning, scenario analysis, and ML forecasting where useful.
Cost and process review
Analysis of cost leakage, bottlenecks, handoffs, operating inefficiencies, and improvement options.
AI/data science roadmap
Practical use cases for predictive modeling, forecasting, model evaluation, and operational adoption.
Executive action plan
Recommended actions, owners, priorities, assumptions, expected impact, and measurement logic.
Performance follow-up
Tracking of whether the plan delivered, what changed, and what should happen next.
Advisory focus areas
Clear service areas for leaders searching for revenue, forecasting, KPI, AI, and performance-improvement support.
Revenue management consulting
Pricing, margin, customer economics, channel mix, ARPU, churn, and growth.
Forecasting and FP&A advisory
Scenario planning, variance analysis, business cases, CAPEX, and executive forecasts.
KPI systems and reporting
Trusted definitions, executive scorecards, reporting logic, and performance visibility.
AI and data science leadership
Predictive models, ML forecasting, model evaluation, adoption, and governance.
Business performance improvement
Revenue opportunities, cost reduction, operational bottlenecks, and action plans.
Healthcare analytics
Medicare performance, value-based care analytics, cost of care, and avoidable utilization.
Executive decision support
CEO/CFO-ready analysis, recommendations, communication, and measurable follow-through.
Miami and remote advisory
South Florida presence with remote advisory support for national and international teams.
AI leadership deck
A short PDF overview of how I think about AI adoption, trusted data, forecasting, revenue optimization, KPI systems, and executive decision support.
Best for leaders who want a concise view of the advisory approach before scheduling a conversation.
Selected impact
Short examples, not long case studies.
Production machine-learning forecasting at national scale
Built production ML forecasting and improved new-product forecasting accuracy.
40% → 10% errorMedicare performance, value-based care analytics, and COVID forecasting
Evaluated ML models, supported Medicare cost-of-care and avoidable-utilization analysis, streamlined dashboards, and supported executive decision-making in healthcare.
High-stakes healthcareCustomer investment and revenue management
Supported pricing, device subsidies, channel strategy, customer investment, and future customer-value modeling.
+65% postpaid revenue15-market revenue management, KPI systems, and CEO/CFO support
Led pricing, commercial analytics, forecasting, churn reduction, revenue actions, EBITDA improvement, and action plans across island markets.
15 marketsMarketing investment and revenue management
Supported EMEA marketing leaders with ROI, attribution, budgeting, forecasting, channel mix, acquisition economics, and major investment decisions.
$25M campaign · ~20% upliftRepresentative transformation work Examples from recognized organizations and complex operating environments. View
Representative transformation work
Selected examples of the environments and business challenges I have worked in.
Production machine-learning forecasting at national scale
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.
Epic ML model evaluation, Medicare performance, executive analytics, and COVID forecasting
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.
Customer investment, pricing, FP&A, device ROI, and revenue management
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.
Revenue management, KPI systems, forecasting, and CEO/CFO support
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.
Marketing investment, revenue management, attribution, and major investment decisions
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.
Reporting structure, automation, and knowledge systems
Built reporting structures for collections and payments where EMEA had little to no reporting. Automated reports, created best-practice documentation, and trained international teams.
Network-based product and revenue optimization
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.
Cross-industry, cross-region executive problem solving
Worked across Europe, Switzerland, Central America, South America, Suriname, Guyana, the Caribbean, and U.S. healthcare, repeatedly translating complex performance problems into executive decisions.
Independent advisory and consulting work Selected client/advisory work beyond employment roles. View
Independent advisory and consulting work
Selected advisory work for CFOs, CEOs, business owners, and client organizations.
Human Systems Integration Inc.
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.
Drivania Chauffeurs
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.
Alkane Group clients
Consulting for restaurants, restaurant chains, and other client businesses, including revenue, profitability, process, operational, and strategic analysis.
Confidential law-firm analysis
Deep-dive analysis in a hurricane insurance-claims environment to identify business problems, profitable segments, revenue opportunities, process improvements, and strategic priorities.
Brand and market positioning
Co-branding and positioning work related to MSC Cruises and Voiello/Costa, focused on transferring Italian and Neapolitan brand positioning.
Political positioning analysis
Analysis for political parties in Italy on voter and politician positioning across left/right parties and competing political brands.
AI & data science leadership Technical depth, model leadership, and business adoption. View
AI & data science leadership
Hands-on data science depth, with executive focus.
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.
Neural networks
Logistic models
Random forests
Predictive modeling
ML forecasting
Traditional forecasting
Model evaluation
Production deployment
Technical depth
Hands-on modeling across healthcare, telecom, retail, and operations.
Leadership
Guide data scientists, challenge assumptions, and connect models to decisions.
Adoption
Make models useful, trusted, and operationally relevant.
Common questions
Short answers for business owners, executives, and recruiters who are trying to understand the fit quickly.
Can you help if our data is messy?
Yes. Much of my work starts with broken reporting, inconsistent definitions, and numbers leadership does not trust.
Is this only analytics, or actual business support?
The work connects analytics to revenue, cost, forecasting, pricing, operations, executive decisions, and measurable action plans.
Can you help with forecasting?
Yes. My background includes traditional forecasting, FP&A-style planning, scenario analysis, and machine-learning forecasting.
Can you lead AI or data science work?
Yes. I have worked hands-on as a data scientist and can lead data science teams while connecting models to business value and adoption.
Do you work with small and mid-sized businesses?
Yes. The approach is especially useful when a CEO needs clearer visibility, better forecasts, and practical decisions without building a large internal team.
Do you work only in Miami?
No. I am based in South Florida and can support Miami-area or remote advisory work with leaders in other markets.
How people describe the work
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
Need clearer strategy, revenue management, forecasting, trusted data, or sharper decision support?
For consulting, advisory, fractional leadership, or executive opportunities, let’s talk.