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Henry Rincón

Industrial Engineer · Analytics & AI Engineer

Henry RincónFrom industrial engineering to AI agents: data, platforms and decisions.

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

Profile

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.

Career

  1. 2025 — today

    Analytics Professional

    Fundación CTIC

    Analytics and data governance for administrative and clinical decisions in healthcare.

    View case study
  2. 2024

    Data Strategy Lead

    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.

    View case study
  3. 2023

    Senior Analytics and Reporting Analyst

    Banco Pichincha

    BI adopted by 50+ users, ETL times cut by 35%, predictive models above 90% accuracy, and co-led data governance.

    View case study
  4. 2021 — 2022

    Post-Operational Analysis

    C&M Consultores (TransMilenio)

    BI adoption (+35% efficiency), an ETL that unified sources (+70%) and demand forecasting with scikit-learn.

    View case study
  5. 2020 — 2021

    Information Systems Analyst

    Cafam

    Led 20 people through the WMS implementation: −25% errors and +15% operational efficiency.

    View case study
  6. 2018 — 2020

    Operations Analyst

    C&M Consorcio (TransMilenio)

    Data-driven supervision of about 150 TransMilenio routes: traceable indicators, automation and the system's statistical memory.

    View case study
  7. 2017 — 2018

    Operations Coordinator

    Ceinfes

    KPIs and board-level reporting; transition to process-based management with agile methods.

    View case study
  8. 2016 — 2017

    Process Engineer

    Inglopres

    ERP, databases and supply chain under ISO 9001; a team of 12 with 95% client satisfaction.

    View case study

Year of the experience in view: 2025

Achievements

10

years of professional experience

From process engineering to data platforms for AI agents (August 2016 → today).

27

AI agents built with the core process I structured

Vesting: 12 clients integrated and up to 23 agents monitored at once, in real time, on Microsoft Fabric.

42

analytics products in use in healthcare

Fundación CTIC: 20 leaders of 15 processes and about 75 users, on shared institutional definitions.

50+

users adopted my dashboards in banking

BI dashboards at Banco Pichincha, driving +25% in decision-making.

70%

faster analysis with a unified ETL

Unifying heterogeneous sources at C&M Consultores (TransMilenio).

>90%

accuracy of predictive models in production

scikit-learn models at Banco Pichincha.

20

people in the largest team I've led

WMS implementation at Cafam: −25% errors, +15% efficiency.

5

professional certifications

Microsoft's DP-600 and 4 from IBM in data science.

Showcase

Four fronts: apps, agents, research and dashboards. Each with its products, and every product with its technical sheet.

  • 6 products

    Apps

    Complete applications, with an interface, built by the pipeline. Each with its promise, its features and its numbers.

    Explore

  • 13 products

    Specialized agents

    No interface: you drive them with commands and they carry complex work through, start to finish.

    Explore

  • 7 products

    Research

    In-house research lines: past the feasibility stage, with their direction already chosen.

    Explore

  • 6 products

    Data dashboards

    Analytical dashboards on real data, to decide on evidence rather than hunches.

    Explore

Explore the portfolio

Education

Industrial Engineering, emphasis in Data Analytics Intelligence

2009 — 2016

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.

Undergraduate studies in Industrial Design

2011 — 2016

Pontificia Universidad Javeriana · Bogotá

Product and systems design with a technological, market-driven approach, focused on environmental sustainability and cultural impact.

Intensive English course and IELTS certification

2013 — 2014

Cambridge International College · Melbourne, Australia

English B2: reading, listening and technical writing; professional discussions and analytical reports.

Certifications

Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)

2024

The one backing my track record: end-to-end data and analytics engineering.

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)

In progress

In preparation: the Azure AI engineering path.

Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)

In progress

In preparation, alongside AI-103: operating, evaluating and monitoring models and agents on Azure.

IBM: Applied Data Science with R

2024

IBM: Data Science Professional Certificate

2022

IBM: Python for Data Science

2022

IBM: SQL for Data Science

2022

Skills

What I use day to day, by group. No made-up percentages: what you see here is what I can do.

AI & ML

Azure AI
RAG & agents — being built in the open (see the showcase)
n8n
PyTorch
TensorFlow
Scikit-Learn
NLP

Data platform

Microsoft Fabric
Direct Lake
RLS (row-level security)
ETL
Data modeling
SQL
Power Query
DAX
Google Cloud — exploring

BI & decision-making

Power BI
Data storytelling
KPIs
Data governance & quality
Shiny (R)
Tableau
Looker Studio

Engineering

Python
Git/GitHub
CI/CD — this site runs on it

Processes & simulation

BPMN (Bizagi)
Discrete-event simulation (FlexSim)
Time study and line balancing
Kanban and Scrum

How I work

Leading teams of up to 20 people
Communication with boards and senior leadership
Process-based management and agile methods
User training and adoption
Reproducible documentation and handover
Multidisciplinary teamwork
Professional English (B2)

Contact

Shall we talk?

A project, an advisory, a training, a talk or a role? Write to me and tell me what you have in mind.

mauricio.hmrc@gmail.com

Download CV (PDF)

Write to me