Data & Analytics Executive
From statistics to strategy.
I learned to see the world through statistics. What has kept me curious ever since is a bigger question: how can data and technology help people and organizations make better decisions?
Articles, workshops and talks connecting data decisions, systems and business consequences.
My path connects strategy, governance, platforms and adoption: from the operating model and architecture to customer, product and management decisions.
Lead
Common definitions, operating model and priorities connected to executive, product and management decisions.
Ownership, quality, observability, standards and policies that make data comparable, trustworthy and actionable.
Build
Hybrid cloud and on-premise architecture, customer master and sustainable data products for analytics and reporting at scale.
Customer 360, segmentation, churn, propensity and next-best-offer connected to growth, retention and customer value.
Transform
Products, channels, payments, care, network and marketing integrated to understand digital adoption, behavior and performance.
Agents and self-service experiences grounded in governed data, catalog, metadata and enterprise architecture.
My work has taken that question across telecom, media and fintech, from Peru to Panama. Today I lead the regional data and analytics strategy for Tigo’s digital ecosystem, connecting governance, architecture and observability with product and management decisions.
I’m a fan of technology for what it enables: helping people and companies do their work better. I like connecting the technical with real, visible and tangible value — not stopping at the technical.
A selection of systems built to address concrete problems, with verifiable evidence and a clearly defined scope.
A reproducible lab connecting a synthetic causal model with five Customer Intelligence cases and agents that consult metadata before analyzing data.
Judgment demonstrated. Results change when the window, population, leakage boundary and causal answer are fixed before modeling: those choices are part of the system, not post-hoc cleanup.
An experimental DeFi agent combining deterministic limits, statistical detection, AI explanation and human approval for anomalies.
Judgment demonstrated. The statistical model decides, AI explains and a person approves: separating those responsibilities makes the decision reproducible and auditable.
A daily dashboard bringing hosted and open-weight markets together to compare cost, context, adoption, licenses and restrictions.
Judgment demonstrated. License and gated access are governance decisions for self-hosting and commercial use; downloads alone lag when identifying new models.
Stay in touch
I share what I'm learning and building around data strategy, Customer Intelligence and Agentic AI.