Analytics Professional
Fundación CTIC
Analytics and data governance for administrative and clinical decisions in healthcare.
Industrial Engineer · Analytics & AI Engineer
Data leader and AI engineer (AI-103 and AI-300, in progress) · Analytics Engineer (DP-600). I design analytics platforms on Microsoft Fabric and take AI agents to production — and this résumé is the sample: walk through it and ask.
Bogotá, Colombia · Open to international relocation and remote work
Industrial Engineer (Javeriana) with ten years of experience —from process engineering to data and AI— turning operational data into business decisions, across banking, transport, logistics and healthcare. Today I lead AI adoption and governance: the strategy and the ISO/IEC 42001 implementation. Before that I designed from scratch the data strategy and platform of an AI-agent startup —Microsoft Fabric and a replicable process to design and monitor agents— and built BI and predictive analytics in banking. Microsoft-certified as a Fabric Analytics Engineer (DP-600), on the way to AI-103 and AI-300. Want to know anything else? Ask this résumé's chat.
Fundación CTIC
Analytics and data governance for administrative and clinical decisions in healthcare.
Vesting — automation-agents startup
Data ecosystem for AI agents on Microsoft Fabric, built from scratch: architecture, governance, real-time agent monitoring and a replicable core process.
Banco Pichincha
BI adopted by 50+ users, ETL times cut by 35%, predictive models above 90% accuracy, and co-led data governance.
C&M Consultores (TransMilenio)
BI adoption (+35% efficiency), an ETL that unified sources (+70%) and demand forecasting with scikit-learn.
Cafam
Led 20 people through the WMS implementation: −25% errors and +15% operational efficiency.
C&M Consorcio (TransMilenio)
Data-driven supervision of about 150 TransMilenio routes: traceable indicators, automation and the system's statistical memory.
Ceinfes
KPIs and board-level reporting; transition to process-based management with agile methods.
Inglopres
ERP, databases and supply chain under ISO 9001; a team of 12 with 95% client satisfaction.
Year of the experience in view: 2025
10
From process engineering to data platforms for AI agents (August 2016 → today).
27
Vesting: 12 clients integrated and up to 23 agents monitored at once, in real time, on Microsoft Fabric.
42
Fundación CTIC: 20 leaders of 15 processes and about 75 users, on shared institutional definitions.
50+
BI dashboards at Banco Pichincha, driving +25% in decision-making.
70%
Unifying heterogeneous sources at C&M Consultores (TransMilenio).
>90%
scikit-learn models at Banco Pichincha.
20
WMS implementation at Cafam: −25% errors, +15% efficiency.
5
Microsoft's DP-600 and 4 from IBM in data science.
Four fronts: apps, agents, research and dashboards. Each with its products, and every product with its technical sheet.
Complete applications, with an interface, built by the pipeline. Each with its promise, its features and its numbers.
Explore
No interface: you drive them with commands and they carry complex work through, start to finish.
Explore
In-house research lines: past the feasibility stage, with their direction already chosen.
Explore
Analytical dashboards on real data, to decide on evidence rather than hunches.
Explore
Pontificia Universidad Javeriana · Bogotá
Process optimization, data analysis and decision support, integrating engineering principles with advanced analytics. Modelling and prediction of industrial phenomena with SQL, Python and Power BI.
Pontificia Universidad Javeriana · Bogotá
Product and systems design with a technological, market-driven approach, focused on environmental sustainability and cultural impact.
Cambridge International College · Melbourne, Australia
English B2: reading, listening and technical writing; professional discussions and analytical reports.
The one backing my track record: end-to-end data and analytics engineering.
In preparation: the Azure AI engineering path.
In preparation, alongside AI-103: operating, evaluating and monitoring models and agents on Azure.
What I use day to day, by group. No made-up percentages: what you see here is what I can do.
Contact
A project, an advisory, a training, a talk or a role? Write to me and tell me what you have in mind.