Executive advisory · AI · Revenue · Transformation

AI, Revenue & Business Transformation.

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 results
REVRevenue & Profitability
Growth, pricing, margin, customer economics, and EBITDA levers.
AIAI & Data Science
Predictive models, trusted data, and applied AI with clear business value.
OPSTransformation & Execution
Process redesign, operating models, automation, and adoption.
How I connect strategy, AI & executionFour steps from business challenge to measurable valueView

Three disciplines.
One business outcome.

Different sectors and technologies, one consistent purpose: improve how a business performs. The work spans commercial economics, analytical depth and real operational change.

01 / COMMERCIAL PERFORMANCE

Revenue &
Profitability

Improve growth, margin and EBITDA by finding the commercial and financial decisions that matter most.

Revenue management · Pricing & customer economics · Forecasting & FP&A · Investment ROI
See commercial impact
02 / INTELLIGENCE

AI &
Data Science

Turn data, predictive models and enterprise AI into trusted decisions and useful capabilities inside the organization.

Machine learning · AI strategy & governance · Predictive analytics · Decision systems
Explore analytical depth
03 / EXECUTION

Business & Operational Transformation

Redesign processes, operating models and workflows so strategy and intelligence produce measurable improvement.

Process redesign · Cost & productivity · Automation · Change & delivery
See the leadership scope

Results across revenue, forecasting & analytics

Selected outcomes from commercial leadership, machine learning, and executive decision support — across different industries, with the same focus on measurable value.

40% → 10% Forecast error reduction

Production ML forecasting for RSI / Burger King restaurants and distribution centers.

+65% Postpaid revenue growth

Vodafone customer investment, pricing, channel strategy, and device revenue management.

15 Markets supported

Digicel CEO/CFO decision support, revenue management, forecasting, and KPI systems.

$25M Campaign business case

Groupon EMEA marketing investment analysis, revenue uplift, and margin improvement.

Cross-industry experience. Consistent business impact.

Work across telecom, digital commerce, restaurant operations, healthcare, technology and international markets — connecting pricing, forecasting, data science, profitability, and operating decisions.

Google
Burger King / RSI
Groupon EMEA
Vodafone
University of Miami Health System
Digicel
eir / eircom
Experience that compounds

Commercial experience. Technical depth. Enterprise transformation.

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.

Commercial foundationRevenue, pricing & financial performance

Revenue management, customer economics, forecasting and executive action plans across international businesses.

Applied intelligenceData science at operational scale

Hands-on modeling, production forecasting, executive analytics and decision support in complex operating environments.

Current leadership focusEnterprise AI, data & operating transformation

Leading cross-functional initiatives across AI strategy, data governance, workflow redesign and adoption in healthcare — always connecting the work to operational and financial value.

For leaders who want more depth

A practical point of view on AI leadership.

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.

What business problem needs to change?

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.

The work starts with the economics — not the tool.

I help leaders move from symptoms and disconnected analysis to decisions, owners, better operating processes and a practical way to measure improvement.

Revenue growth has stalled, pricing is inconsistent, or margins are under pressure
EBITDA, costs, investment ROI, or customer economics need closer examination
Forecasts and scenarios are unreliable or disconnected from decisions
Data science and AI pilots are not changing how teams actually work
Reporting is fragmented, and leaders cannot agree on the numbers
Processes contain manual effort, rework, bottlenecks, or avoidable cost
Technology investment is growing faster than measurable business value
Leadership needs a credible plan for execution and follow-through

The capabilities behind the outcomes

The disciplines needed to take a problem from financial diagnosis to intelligence, redesign and delivery.

REV
Revenue Management Pricing, growth, customer value, channel economics and margin.
AI
AI Strategy & Adoption Use-case portfolio, governance, integration and measurable business value.
DS
Data Science Predictive analytics, machine learning, model evaluation and production use.
FPA
Forecasting & FP&A Business cases, scenarios, forecasts and investment decisions.
OPS
Process Redesign Workflow mapping, operating efficiency, automation and execution.
KPI
Executive Decision Systems Trusted metrics, data foundations, performance management and reporting.

Enterprise AI that changes how the business operates

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.

1. Use-case portfolio Prioritize AI and automation opportunities by business value, feasibility, workflow fit, data readiness, risk, and measurable impact.
2. Trusted data foundation Clarify definitions, data flows, ownership, data quality, governance, and the logic behind executive KPIs.
3. Workflow integration Move from stand-alone analysis to tools embedded in the real work: intake, review, routing, validation, follow-up, and action.
4. Forward-deployed execution Place business-facing analytics and engineering capacity close to operations so discovery, design, testing, and adoption stay connected.
5. Governance and risk Evaluate security, compliance, privacy, vendor risk, human review, model limits, and adoption guardrails before scaling.
6. Value measurement Track whether the work actually improves revenue, cost, productivity, quality, turnaround time, experience, or decision speed.

Where I can help

Focused areas of work, organized around commercial value, applied intelligence, and enterprise change.

Revenue & pricing strategy Growth, pricing, margin, customer economics, marketing investment, channel mix and commercial decisions.
Profitability & EBITDA improvement Cost drivers, economic analysis, investment return, efficiency opportunities and actionable improvement plans.
Data science & predictive models ML forecasting, model evaluation, production adoption, predictive analytics and practical decision support.
Enterprise AI leadership Use-case prioritization, AI operating models, adoption, data readiness, governance and business-value measurement.
Forecasting & FP&A Scenarios, variance analysis, strategic forecasts, investment cases and leadership planning.
Operating model & process redesign Current-state mapping, handoff improvements, automation, team workflows and performance management.
Executive KPI & reporting systems KPI ownership, trusted definitions, enterprise reporting, decision rhythms and analytics modernization.
Healthcare analytics & transformation Clinical and administrative analytics, cost of care, workflow support and value-focused enterprise AI.

Selected impact — in context

A closer look at the problems and operating environments behind the headline results.

RSI / Burger King

Production machine-learning forecasting at national scale

Built production ML forecasting and improved new-product forecasting accuracy.

40% → 10% error
University of Miami Health System / UHealth

Medicare 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 healthcare
Vodafone

Customer investment and revenue management

Supported pricing, device subsidies, channel strategy, customer investment, and future customer-value modeling.

+65% postpaid revenue
Digicel

15-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 markets
Groupon EMEA

Marketing investment and revenue management

Supported EMEA marketing leaders with ROI, attribution, budgeting, forecasting, channel mix, acquisition economics, and major investment decisions.

$25M campaign · ~20% uplift
Representative 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.

RSI / Burger King

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.

University of Miami Health System / UHealth

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.

Vodafone

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.

Digicel · 15 markets

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.

Groupon EMEA

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.

Google · EMEA

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.

eir / eircom

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.

Global markets

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.
What a consulting engagement can produce Concrete deliverables if someone wants to understand what they get. View

What an engagement can produce

The deliverable depends on the problem: commercial diagnosis, a forecasting model, an AI use-case plan, a redesigned process, or ongoing performance leadership.

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, workflow, and automation review Analysis of cost leakage, bottlenecks, handoffs, automation opportunities, and operating inefficiencies.
AI operating model and roadmap Use-case portfolio, governance needs, workflow integration points, adoption plan, and value measurement logic.
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.

Questions leaders often ask

The right starting point depends on the business challenge, not the latest tool.

Is this primarily AI consulting or business advisory?

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.

Can you help improve revenue or profitability without using AI?

Yes. Revenue management, pricing, customer economics, forecasting, margin improvement and executive performance analysis are core parts of my experience.

Can you lead hands-on data science and AI teams?

Yes. My background includes hands-on modeling, production forecasting, model evaluation and leadership of technical work connected to business adoption.

What if our reporting or data is unreliable?

Trusted metrics, definitions, ownership, data flows and executive reporting are often the starting point before an organization invests further in models or automation.

Do you help redesign operations, not just present findings?

The approach connects business diagnosis to process mapping, workflow redesign, operating ownership, implementation support and measurement.

Do you work outside healthcare or outside Miami?

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.

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

Revenue. AI. Operations. One measurable business goal.

For executive advisory, performance transformation, AI strategy, commercial improvement, or leadership opportunities, start with a conversation.

Schedule a conversation AI deck