I design and build data and AI solutions, on big data and cloud and grounded in statistics, that become real products and measurable results.
The same extraction, the same Excel, the same emails, every week. I automate the whole routine so it runs in seconds instead of hours.
Done before: a Peruvian insurer's paperwork intake, moved from manual processing to automatic extraction and approval.
It works fine on your computer, and only there. I put it online so your whole team uses the same product from anywhere.
Done before: five years of a Colombian construction company's project data, turned into an online tool its customers query on demand.
Most chatbots don't understand the question and leave people without a solution. I build one that understands what your customer needs and solves it.
Done before: customer service for one of Peru's largest banks, automated across web chat, phone and mobile app.
Know what your sales will look like before the month starts. I build the forecast on your own history so you can plan stock, staff and budget.
Done before: a forecasting platform for one of the world's three largest beverage companies, used by hundreds of bottlers across South America.
You have many customers and many products. I build the engine that tells you what to offer each one next, based on what they already buy.
Done before: a national retailer in Bolivia that grew revenue without new customers, with three personalized suggestions per interaction.
Understand your customers and grow profit by targeting the right ones. I group them by how they actually buy, so every campaign has a clear audience.
Done before: buyer personas for a delivery app operating in four South American countries.
That gap is where I work.
For 5+ years I've led data and AI transformations for some of LATAM's largest companies in retail, banking, healthcare and insurance. The strategy and the execution are the same person: I write the Python, architect the system and deliver the result.
80% of AI projects fail on the foundation. So every engagement starts with the data, not the model. Is it clean, connected and trusted? Then AI goes where it creates real leverage.
I'm based in Boston, work in English and Spanish, and am completing an MS in Financial Management at Boston University, so the ROI case speaks the CFO's language.
Audit the data foundation and name the number the project will change.
Shape the strategy and the architecture around that number.
Build the solution and put it in production on your cloud.
Take the pilot enterprise-wide and prove the number moved.
Play shopkeeper for a minute. You run a small grocery store and want to offer each customer one more product. Guess first, then see what your data says.
Twelve builds across eight industries. Client names stay confidential; detailed case studies are available on request.
From data scientist to owning a company's cloud data architecture and its first AI initiatives.
Economics for the rigor, an MBA for the strategy, and finance to put a number on both.
Sep 2026 – May 2027, in progress
Master of Science in Financial Management
Boston, United States
Sep 2025 – Sep 2026
Master of Business Administration (MBA)
Monterrey, Mexico. GPA 9.54/10
May 2014 – May 2019
Economics, minor in Insurance. Magna Cum Laude
Quito, Ecuador. GPA 3.82/4
Jul – Aug 2018
International Summer Program in Entrepreneurship & Innovation
Barcelona, Spain
2017 – 2018
Academic Exchange Program
Wilmington, United States
Tell me the number you want to change. WhatsApp is the fastest way to reach me.
Based in Boston, Massachusetts. Working across LATAM and the USA.