Executive AI & Data Profile

JAVIER FORERO

AI & Data Strategy Leader · GenAI Adoption · Analytics Transformation

Senior data scientist and AI strategy leader with 25+ years connecting data, artificial intelligence and business decisions. I design strategies, analytical products, intelligent automation and adoption programs that turn technical complexity into real transformation capabilities.

📍 Bogotá, Colombia ✉️ mail@javierforero.com 📞 +57 320 838 3457 🔗 linkedin.com/in/jforero
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Generative AI & LLMs Advanced Analytics AI Strategy & Governance Intelligent automation Cloud (AWS · Azure · GCP) Data storytelling
25+
Years in data, analytics, AI and digital transformation
29
Documented cases and projects in AI, data and analytics
14 + 1
Inspire Awards and 1 Encore Award at Johnson & Johnson
10–15+
Collaborators led across data, digital and analytics teams
Global
Global and LATAM corporate experience: Johnson & Johnson and the WPP group (GroupM · Wavemaker)
4 functions
AI, data and analytics across corporate functions: HR, Finance, Procurement and Legal
NPS 60–95
Satisfaction across AI & analytics training (Asuntos Digitales · Collective Academy)
3 clouds
Experience across AWS, Microsoft Azure and Google Cloud

If you only have 30 seconds

  • Senior profile in AI, data, analytics and digital transformation.
  • Global and regional corporate experience at Johnson & Johnson and the WPP communications group (GroupM / Wavemaker / MEC / Y&R).
  • A strong bridge between business, technology, adoption and executive storytelling.
  • Track record building analytical products, automations, executive training and AI capabilities.
  • Where I create the most value: AI and data strategy, GenAI adoption, analytics products, senior consulting, executive education and evidence-based decision-making.

Experience at leading organizations

Johnson & Johnson GroupM Wavemaker MEC Universidad Nacional Universidad Militar (UMNG) Asuntos Digitales Collective Academy
Value proposition

From AI curiosity to measurable execution

I turn data, artificial intelligence and automation into decisions, analytical products, organizational capabilities and sustainable business results — connecting strategy, data, AI, cloud, governance, adoption and executive storytelling.

Business–technology translator

I turn complex problems into solutions that executive and technical stakeholders can understand.

AI capability architect

I design roadmaps, MVPs, success criteria, governance and organizational adoption.

Data scientist with statistical rigor

I bring methodological, analytical and measurement rigor to every initiative.

Implementation-focused consultant

I design solutions connected to real processes, not just conceptualizations.

Educator and facilitator

I train technical and non-technical audiences in AI, analytics and productivity.

Data storyteller

I communicate insights with clarity, structure and executive impact.

Quick view for recruiters

Pick the angle closest to the role to see the most relevant evidence first

Not every process evaluates the same thing. This view doesn't change my experience or generate an artificial resume — it only reorders cases, capabilities and evidence to make the review faster.

Where this profile creates the most value

  • AI & Data Strategy Leadership: strategy, governance, adoption and analytics transformation.
  • GenAI Adoption & Automation: applied generative AI, RAG, agents, productivity and process redesign.
  • Analytics Products & Decision Intelligence: BI, dashboards, executive insights and decision-making.
  • Senior AI & Data Consulting: diagnostics, architecture, roadmaps, prioritization and executive advisory.
  • Executive AI Education: AI literacy, corporate training and adoption for technical and non-technical teams.
Projects & featured cases

Evidence of how I turn data and AI into capabilities

Filter by initiative type, or search by technology, client or keyword. Click any card to see the full case: context, challenge, role, solution, stack and evidence classification.

Recommended cases to start with
GenAI · P2P Automation

Preflex — Intelligent invoice automation

ProblemReduce manual work and posting errors while keeping traceability, control and exception management.
My roleTechnical consultant — solution design, GenAI architecture and MVP definition.
Generative AIGoogle GeminiSAP Business One
Target KPIView case →
Industrial automation

Preflex — Demand planning & production orders

ProblemReduce manual intervention without replacing FlowSoft or forcing operators to interact directly with SAP.
My roleStrategic consultant — phased industrial automation roadmap design.
AutomationSAP B1WMS
Expected impactView case →
Analytical product · Market Intelligence

RAC Evolution — Longitudinal brand intelligence

ProblemTurn 22+ years of historical data into actionable intelligence —dynamic analysis by sector, category, brand and target— expanding commercial value without driving up cloud costs.
My roleAnalytical design, data infrastructure, insight automation and product-evolution leadership.
Branding AnalyticsLongitudinal DataDashboards
DocumentedView case →
Open knowledge · Actuarial & Data Science

Health Insurance Reserving Handbook — IBNR & health reserving

ProblemClose the gap between actuarial theory and practice: turn scattered methods into a coherent, reproducible, governed body of knowledge for actuaries, analysts and validators.
My roleAuthor and architect of the handbook — technical content, reusable Python core, demos, editorial quality control and automated publishing.
Actuarial ScienceIBNRChain Ladder
DocumentedView case →
Data · Governance · BI

SEC / Asoanei — Data model & Power BI

ProblemEnable faster decisions by improving data quality, timeliness and usage.
My roleMission lead — initial design and implementation of the model, dashboard and roadmap.
Power BIMicrosoft FabricPurview
DocumentedView case →
Architecture · Data governance

Yubarta / SEC — Circular-economy REP platform

ProblemEvaluate developer proposals and steer the MVP on data, security, quality and interoperability.
My roleIndependent expert consultant — technical evaluation and MVP follow-up (SEC volunteering).
Data GovernanceCircular EconomyInteroperability
DocumentedView case →
POC · Public AI · NLP

CivisAI — AI for urban planning

ProblemFacilitate access, analysis and presentation of qualitative information for public decisions.
My roleStrategic design and POC in a public-innovation call.
NLPAuto-classificationVisualization
DocumentedView case →
Global corporate AI

Johnson & Johnson — Corporate Business Technology

ProblemConnect AI and GenAI with executive decision processes, with responsible adoption and governance.
My roleData Scientist / analytics lead — strategy, analytical execution and internal training.
Generative AIMachine LearningText Analytics
DocumentedView case →
BI · Predictive analytics

J&J — Procurement Shared Services Americas

ProblemDeliver timely, high-quality analysis by automating processes and integrating data flows.
My roleBI and advanced-analytics lead for Procurement Americas.
Business IntelligencePredictive AnalyticsNLP
DocumentedView case →
AI Adoption · Consulting

Impulso IA 360 — Connect Bogotá

ProblemTurn AI ideas into actionable initiatives through diagnosis, training and prototyping.
My roleDesign of the consulting and training model by hour bank.
AI AdoptionUse CasesPrototyping
Expected impactView case →
Teaching · AI adoption

Asuntos Digitales — Applied AI for business

ProblemEnable technical and non-technical teams to apply AI in real work contexts.
My roleLecturer, content creator and facilitator across 5 B2B diplomas/specializations (7 classes/modules, several cohorts).
Executive EducationChatGPTCopilot
DocumentedView case →
University teaching

Universidad Militar Nueva Granada — AI & Legal Tech

ProblemPractical, ethical and professional application of generative AI in specific disciplines.
My roleLecturer and speaker in 2 documented diplomas.
Generative AILegal TechEthics
DocumentedView case →
Mentoring · AI productivity

Collective Academy — AI Productivity Tools

ProblemBring applied AI to professional and everyday practice with automation and data analysis.
My roleMentor of two cohorts of more than 40 students.
AI ProductivityAutomationData Analysis
DocumentedView case →
Own MVP · GenAI

GenAI for Entrepreneurs — Assistant with RAG and Gemini

ProblemFacilitate understanding of entrepreneurship information and business plans for non-technical users.
My roleCapstone of the 5-Day Gen AI Intensive Course with Google (2025 Q1): development of the demonstrative MVP.
Generative AIRAGGemini 2.0 Flash
DocumentedView case →
Own product · Creative AI

VibraWave Studio — Reactive audio visualization

ProblemAccelerate production of musical/reactive videos with a browser-based experience.
My roleCreation of the own web product.
Web AppAudio-reactiveCreative AI
DocumentedView case →
Own product · GPT

Prompt Advisor — Prompt-engineering GPT

ProblemTurn fuzzy needs into clear prompts adapted to different levels and tools.
My roleDesign of the own GPT.
Custom GPTPrompt EngineeringAutomation
DocumentedView case →
Advanced analytics · PySpark

Databricks — Customer analysis by industry (BNA)

ProblemImprove macro and granular diagnosis separating total vs Pareto customers.
My roleDevelopment of the advanced analysis and reproducible notebook.
DatabricksPySparkSpark SQL
Expected impactView case →
Consulting · Data architecture

NEICON — Data architecture, BI and AI

ProblemEvaluate infrastructure, optimize BI and outline AI deployment to production.
My roleConsultant in data architecture and analytical strategy.
Microsoft FabricPower BIAzure
Expected impactView case →
MBA mentoring · BI

Collective Academy — BI & Data Analytics

ProblemStrengthen analysis, visualization, KPIs and evidence-based decision-making.
My roleMentor of two MBA cohorts.
Business IntelligenceData AnalyticsKPIs
DocumentedView case →
Online course

Crehana — Business Analytics with Python and Excel

ProblemTrain professionals to make informed decisions without relying on complex tools.
My roleCourse design and teaching.
PythonExcelBusiness Analytics
DocumentedView case →
Own tool · Creative productivity

TOON Converter — technical prompts for images

ProblemRaise image-prompt quality and cut token consumption for non-expert users.
My roleCreator and developer of the product.
Prompt EngineeringImage GenProductividad
DocumentedView case →
Own tool · ETL for AI

MarkDowner — document ETL to Markdown

ProblemTransform messy sources (PDF/web) into clean, structured data for AI.
My roleCreator and developer of the product.
ETLRAGMarkdown
DocumentedView case →
Own product · EdTech / LMS

AprendIA — LMS with gamification and AI

ProblemScale training with adaptive assessment and realistic simulations for employees.
My roleCreator and developer of the product.
EdTechLMSGenerative AI
Expected impactView case →
Own GPT · Learning

Complex-Concepts Tutor — clarity and simplicity

ProblemMake technical/legal documents understandable for non-expert users.
My roleCreator and developer of the GPT.
Custom GPTMicro-learningExplainability
DocumentedView case →
Own tool · Assessment

AI Exam Tutor — from PDF to interactive exam

ProblemGenerate assessments quickly from existing material (PDF/image).
My roleCreator and developer of the product.
AssessmentGenerative AIEdTech
DocumentedView case →
RAG demo · Knowledge base

NotebookLM — AI knowledge base (RAG)

ProblemQuery specialized documentation with grounded answers and no hallucinations.
My roleCurator and author of the knowledge base.
RAGKnowledge BaseResponsible AI
DocumentedView case →
Own product · Market intelligence

AI News Assistant — monitoring and summaries

ProblemFilter information noise and deliver actionable trend synthesis.
My roleCreator and developer of the product.
News MonitoringGroundingGenerative AI
DocumentedView case →
Own product · AI marketing

SYNCO — omnichannel marketing content

ProblemCreate consistent, brand-aligned omnichannel content in seconds.
My roleCreator and developer of the product.
MarketingContent GenBrand Voice
DocumentedView case →
Own product · Creative AI

Literary Reflections — daily creative AI

ProblemGenerate original, consistent creative content on a recurring basis.
My roleCreator and developer of the product.
Creative AIContent GenStorytelling
DocumentedView case →
Own product · Audio AI

DJ StoryMix — personalized audio narratives

ProblemCreate coherent, personalized audio narratives at scale.
My roleCreator and developer of the product.
Audio AIMusic TheoryPersonalization
Expected impactView case →
Professional experience · Timeline

Over two decades connecting data and decisions

2024 — Present

Analytics, AI & Digital Transformation Consultant

Independent consulting · Colombia / Global

I lead strategic advanced analytics, machine learning and applied AI projects for organizations across industries, acting as a strategic partner to executive areas. I design and implement end-to-end solutions —from problem definition to production deployment—, orchestrate data- and AI-driven automation, and advise on data strategy, AI governance and organizational adoption.

2025 — Present

Lecturer and facilitator in applied AI

Asuntos Digitales · Universidad Militar Nueva Granada · Collective Academy

Applied AI training for LATAM audiences and academic programs: diplomas in productivity, marketing, operations, sales and business; generative AI, Legal Tech, ethics and research. Public institutional NPS >85 (Asuntos Digitales); NPS 70/60 and 40/50 documented at Collective Academy.

2021 — 2024

Data Scientist / Analytics Lead — Corporate Business Technology

Johnson & Johnson · Global

Co-led the design and implementation of AI, GenAI and advanced analytics solutions for global corporate functions (HR, Finance, Procurement and Legal), focused on automation, insight generation, data governance and responsible adoption. Led and coordinated analytics and consulting teams (5–6 analysts and 3–4 consultants), bridging business, technology, data and adoption across global corporate functions and LATAM markets. 14 Inspire Awards and 1 Encore Award.

2018 — 2021

BI & Advanced Analytics — Procurement Shared Services Americas

Johnson & Johnson · Regional

Led Business Intelligence, predictive and prescriptive analytics capabilities for Procurement Americas, automating analysis, integrating data flows and enabling decisions with real-time signals. Built regional analytics capabilities from the ground up and managed stakeholders across LATAM markets. Contributed to a center of excellence in user experience and NLP.

Apr 2013 — Dec 2017

Digital & Data Director

MEC / GroupM · Colombia

Led a team of 10–15+ collaborators within the WPP communications group (GroupM), building regional analytics capability and delivering intelligent business-analysis outputs for clients through the latest data-visualization tools and sophisticated BI platforms. Special emphasis on digital analytics for performance clients, defining trafficking guidelines and delivering analytics for campaign and content optimization.

Oct 2010 — Mar 2013

Analytics & Insight LatAm Managing Partner

MEC Global / GroupM · Miami, USA

Led the Analytics & Insight division of this global communications agency for Latin America from the LatAm HUB in Miami, serving global and regional accounts across sectors such as consumer electronics, luxury and beauty, telecommunications, leisure and tourism, entertainment and FMCG. Partnered with regional A&I heads to deliver the global product offer adapted to local client needs. Member of the Global Analytics & Insight Board, representing LATAM's interests.

Aug 2008 — Sep 2010

Analytics & Insight Director

MEC Global Solutions · London, UK

Led projects with international clients from the London global hub, consolidating consultancy and data-management expertise. Created innovative reporting tools for clients and global R&D, earning special recognition from clients and partner companies. Active participation in the digital immersion program and support for new-business pitches globally, across FMCG, telecommunications, pharmaceutical, finance, digital, luxury and entertainment clients.

Apr 2000 — Jul 2008

Research Director

MEC Colombia · Bogotá

Delivered analytics and insight as part of clients' communication platforms across banking, technology, pharmaceutical, FMCG, B2B, B2C, entertainment, retail, education, health, automotive, government and tourism. Advised on research solutions and ad-hoc propositions, with command of methodologies such as brand equity, media audiences, consumer segmentation and pre/post testing. Led process efficiencies and internal media training, and participated in new-business pitches. Active in industry committees (IBOPE, EGM, TGI, CICMA) and auditing of syndicated studies.

Jun 1998 — Apr 2000

Research Director

Toro D'Arcy (now Arena Communications) · Colombia

Within the media department: cost and TV-audience analysis, monitoring negotiations and cost-value efficiency; development of automation processes for negotiation analysis. Member of the technical forum and committee for the EGM media-consumption study in Colombia, supporting credentials decks and consumer/audience analysis for new-business pitches.

Swipe to explore →

Capability system

Competencies by domain, with linked evidence

Each domain groups skills, the projects where they apply and keywords for ATS processes.

AI StrategyGenAI · LLMsData ScienceData AnalyticsAnalytics · BICloud · MLOpsConsultingTeaching
Competency profile — emphasis by domain (qualitative)

I design AI capabilities connected to the business: governance, roadmaps, use-case prioritization, success criteria, operating models and adoption.

AI StrategyAI GovernanceResponsible AIUse Case PrioritizationOperating ModelHuman-in-ControlAI PolicyRoadmaps

Evidence: Johnson & Johnson CBT · Connect Bogotá / Impulso IA 360 · Asuntos Digitales · Corporate AI policy (Preflex).

Generative AI applied to real processes: RAG, agents, multimodal document reading, automated narratives and prompt engineering.

Generative AILLMsRAGAgentic AIGoogle GeminiLangChainLlamaIndexPrompt EngineeringNLG

Evidence: Preflex (invoices with Gemini) · RAC Evolution (AI narratives) · GenAI for Entrepreneurs · Prompt Advisor.

Applied statistics, machine learning, predictive models, time series, NLP and text analytics with methodological rigor.

StatisticsMachine LearningPredictive ModelingTime SeriesNLPText AnalyticsPythonPySparkForecasting

Evidence: J&J Procurement (predictive/prescriptive) · Databricks BNA (PySpark, Pareto, deseasonalization) · RAC (purchase prediction model).

Analytical products, executive dashboards, semantic models, KPIs and decision-oriented visualization.

Power BITableauDashboardsKPIsData StorytellingSemantic ModelsMarket Intelligence

Evidence: RAC Evolution (12 analytical modules) · SEC / Asoanei (Power BI) · J&J BI.

Modern data architectures and AI deployment to production across the three main cloud ecosystems.

AWSMicrosoft AzureGoogle CloudDatabricksMicrosoft FabricData MeshData LakeVertex AIAzure MLSAP Business One

Evidence: NEICON (data architecture) · Preflex (SAP B1, SIADOC, GCP) · Yubarta REP · Databricks.

Consultative diagnosis, proposal design, phased roadmaps, stakeholder management and value creation.

AdvisoryBusiness TransformationRoadmapStakeholder ManagementMVPDiscoveryAgile / ScrumWorkshops

Evidence: Impulso IA 360 · Preflex (production roadmap) · Yubarta (12 weeks) · RAC Evolution.

Executive and corporate training, data literacy, AI adoption and instructional design for diverse audiences.

Executive EducationAI TrainingData LiteracyCorporate AdoptionWorkshopsCurriculum DesignPublic Speaking

Evidence: Asuntos Digitales (5 programs, NPS >85) · UMNG (2 diplomas) · Collective Academy (NPS 70/60) · Crehana.

Live data storytelling

Proof, not claims — interactive experiences I built

I demonstrate my visualization and UX approach with real, open pieces you can open and explore — clarity and usability first.

Benchmark de dashboards de decisión: dos portafolios construidos con Claude y con ChatGPT bajo la misma dirección analítica
Decision dashboards · head-to-head AI benchmark

Two portfolios. Two AIs. One analytical standard.

An expanded benchmark comparing side by side what two AIs deliver under the same analytical direction: one portfolio built with Claude, another with ChatGPT — conversational AI, decision governance, forecasting with backtests and a bring-your-own-data layer (CSV/XLSX recalculated in the browser).

2 portfolios2 AI engines1 analytical directionDecision IntelligenceBring your own data

What it proves: the value lives in the analytical criterion — business question, trustworthy evidence, enabled decision — and different AIs can materialize it into working analytics products.

Compare both portfolios → Claude portfolio → ChatGPT portfolio → View code (GitHub)
Inflación en América Latina — mapa 3D de datos por país, 19 años de historia
End-to-end case · open data to story

Latin America Inflation 2025 — 19 years, one full pipeline

One topic, the entire data pipeline: open dataset on Kaggle → analysis notebook → Tableau dashboard (my most-viewed) → a custom JS dashboard inside the full narrative on my blog → a findings carousel on LinkedIn.

26K+ Tableau views799 dataset downloads19 years of data18 countriesOpen data

What it proves: the complete loop — sourcing open data, analyzing it, visualizing it and telling the story across channels.

Read the story → Tableau dashboard → LinkedIn carousel → Dataset → Notebook →
Benchmark IA · Mundial 2026 — Claude, ChatGPT y Gemini
Sports analytics · AI benchmark

FIFA World Cup 2026 — Three AIs, one consensus

Claude, ChatGPT and Gemini forecast the 2026 World Cup and a consensus combines them — an interactive, bilingual, dark-mode experience designed for clarity.

48 selecciones72 partidos3 IAs + consensoDixon-Coles · MLOpen source

What it proves: turning complex data into a clear, interactive, user-first story.

Open live demo → View code (GitHub)
Health Insurance Reserving Handbook — manual técnico abierto de IBNR y reservas actuariales en seguros de salud
Open knowledge · Actuarial & Data Science

Health Insurance Reserving Handbook — open, reproducible actuarial science

A technical handbook on IBNR and reserving in health insurance: 40 chapters, 7 parts and 5 reproducible Python demos — from Chain Ladder to machine learning, with applications to the Colombian health system. Demo 5 turns your own data into validated actuarial triangles.

40 chapters5 Python demos132 canonical fieldsOpen source · MITStreamlit

What it proves: statistical and actuarial depth turned into an open, governed, reproducible knowledge asset — theory and practice in one place.

Explore the handbook → View repository (GitHub)
Open source · community

Code, collaboration & knowledge sharing

Public repositories and data-science notebooks — open source as evidence of how I build, collaborate and share knowledge.

What it proves: real, reviewable code and an open way of collaborating and teaching.

GitHub → Kaggle →
Living visual compendium

Maestro Digital — AI Tools

An interactive compendium of AI tools and platforms classified by purpose, continuously updated.

Open compendium →
Industries and domains

Where I have applied data and AI

Health & Consumer Health

Johnson & Johnson — global functions, procurement, precision and data · open health-insurance reserving handbook (IBNR).

Manufacturing & Industry

Preflex — Procure-to-Pay, demand and production planning.

Marketing, Media & Branding

GroupM / Wavemaker / MEC · RAC Study · creative agencies.

Public Sector & Territory

CivisAI (Bogotá Planning) · Top 5 Route Cundinamarca (IDC).

Circular Economy & Sustainability

Yubarta / SEC — REP platform, environmental traceability.

Education & EdTech

Asuntos Digitales · UMNG · Collective Academy · Crehana.

Retail & Consumer Goods

Databricks BNA — analysis by industry, Pareto, time series.

LegalTech & Legal AI

UMNG — generative-AI diplomas applied to Law: document analysis, legal research, ethics and professional automation.

Education & academic training

Statistical foundation and elite continuous learning

Degree thesis: Construction of the Colombian Stock Exchange price index using cointegration methods. Recurring participation in the International Statistics Symposium of Universidad Nacional (Non-Parametric Statistics, Quality Control, Social Research, Data Science), 1997–2024.

Data types and computational methods in stratified healthcare and precision medicine: sequence processing, image analysis, network and probabilistic modelling, machine learning, NLP, process modelling and graph data.

First generation of Data Scientists sponsored with support from Colombia's Ministry of Information Technologies and Communications. Intensive training in applied data science, analytics, Python and data-driven business problem solving.

University of Michigan — Programming for Everybody & Python Data Structures. Johns Hopkins University — Crash Course in Data Science, The Data Scientist's Toolbox, Getting and Cleaning Data, Building a Data Science Team, Managing Data Analysis.

Advanced business English (Saint George International; EF International Language Center). Digital Leadership Program — INALDE Business School / Google. Executive Leadership Flight Path — Twitter. Languages: Spanish native · English professional / advanced.

Certifications

70+ credentials in AI, data, cloud and leadership

Filterable explorer · 71 credentials classified by domain (LinkedIn, Google/Kaggle).

Publications & digital ecosystem

Content, talks and public solutions

AI Solutions

Repository of solutions, prototypes and real examples of AI applied to productivity, creativity, automation and analysis.

javierforero.co/soluciones-ia →

YouTube Channel

Classes, explanations and outreach on AI, data science, analytics and digital transformation. 1.6K subscribers.

@JavierForeroRuiz →

Talks & conferences

Playlist of public talks and sessions on AI, analytics, digital transformation, data and tech adoption.

View playlist →

Blog Philia Sophia

Point of view on data science, AI, analytics, technology, marketing, communication and strategic thinking.

javierforero.co →

Portfolio

Central access to Javier Forero's profile, links and professional materials.

bit.ly/m/jforero →
Social proof & validations

What clients and colleagues say

"An impeccable, enriching session of the highest professional value. Javier Forero's academic proposal far exceeded the students' expectations; they highlighted his mastery and the robustness of his content."

Luis Antonio González
Asuntos Digitales — Diploma in Commercial Management & Sales with AI · Commercial Metrics & Reporting (NPS 95)

"We needed precision, not just automation. Javier's integration translated the technical complexity of our data into clear commercial insights. We gained agility and depth in delivering value to clients."

Maritza Cárdenas Duarte
Commercial Director, B&Optimos — RAC Evolution

"He understands exactly what is required, analyzes problems deeply and proposes innovative solutions that he executes quickly. A research & insight partner I recommend without reservation."

Charlie Hutchinson
Professional recommendation · LinkedIn

"Organized, proactive, transparent and client-focused. Open to suggestions, very responsive and committed — a valuable asset for any company."

Noelia Monastirsky
Professional recommendation · LinkedIn

"Smart, hard-working, passionate and fun. The kind of person you would always want on your team. He stood out in the training programs within GroupM."

Paola Careglio
Professional recommendation · LinkedIn
Contact

Let's build a real AI capability, not just a proof of concept

Javier Forero

Analytics, Artificial Intelligence and Digital Transformation Consultant. Available for consulting, leadership of AI/data initiatives, executive teaching and talks.

For recruiters

Pick the angle closest to the role to see the most relevant evidence first, or download my executive resume.

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Let's talk about how to turn your data and processes into actionable decisions.

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