
Eli Gonzalez
@eligonzalez
I build AI products and machine learning systems that improve decisions, growth, and fraud prevention.
What I'm looking for
I founded Brewo, an AI-powered newsletter platform that automates research, summarization, translation, and publishing through multi-agent workflows, retrieval systems, and large language models.
At Kueski, I built and evolved production fraud prevention systems for lending products, reducing fraud-related losses by approximately 70% and false positives by 65%. I owned feature engineering, model development, graph analytics, online decisioning, deployment, risk strategy, and performance measurement.
Previously, I drove growth science at Heineken and Rappi, where I designed experiments, attribution models, and causal analyses to improve product adoption, marketing investment, and revenue. At Heineken, a randomized regional experiment supported a subscription initiative that delivered a 16% revenue uplift.
I also founded and operated MunchGo, a multi-brand ghost kitchen in Mexico City, and have worked across fintech, marketplaces, e-commerce, and AI startups. I'm completing a Master of Data Science at UBC and am motivated by turning ambiguous problems into useful products, experiments, and systems that create value for real people.
Experience
Work history, roles, and key accomplishments
Founded and built Brewo, an AI-powered newsletter platform that delivers curated content through automated research, summarization, translation, and publishing workflows.
Designed, developed, and launched the product end-to-end, including product strategy, AI systems, backend development, website creation, content generation pipelines, growth initiatives, and user acquisition.
Key contributions:
Led the development and evolution of machine learning systems used to prevent fraud across Kueski Cash's lending products.
Owned initiatives spanning feature engineering, model development, online decisioning, graph analytics, model deployment, fraud strategy, and performance measurement. Collaborated closely with engineering, risk, operations, and product teams to improve fraud prevention while b
Led the development and evolution of Machine Learning systems used to prevent fraud across Kueski Cash's lending products. Owned initiatives spanning feature engineering, model development, fraud strategy, graph analytics, experimentation, and production monitoring, working closely with risk, product, engineering, and operations teams.
Key contributions:
• Reduced fraud related losses by appro
Founded and operated MunchGo, a multi-brand ghost kitchen focused on food delivery in Mexico City.
Managed the business end-to-end, combining data analysis, experimentation, and operational optimization to drive customer acquisition, menu performance, and business growth.
Key contributions:
• Developed and launched multiple food delivery brands targeting different customer segments and consumptio
Joined the digital growth team supporting Heishop, Heineken's B2B e-commerce platform, helping drive product adoption, customer engagement, and revenue growth through experimentation, analytics, and machine learning.
Partnered with product, commercial, marketing, and operations teams to evaluate strategic initiatives, uncover growth opportunities, and translate customer behaviour into actionable b
Joined Rappi's Growth Data Science team to support user acquisition and marketing investment decisions through experimentation, attribution modeling, and causal analysis.
Partnered with marketing, product, and growth stakeholders to measure the effectiveness of acquisition channels, evaluate growth initiatives, and improve the allocation of marketing spend across a rapidly growing marketplace busi
Managed technical relationships with strategic enterprise partners across Mexico, Colombia, Argentina, and Chile, serving as the primary bridge between partner organizations and Rappi's product, engineering, and operations teams.
Owned the technical success of 16 key accounts, leading integration initiatives, resolving operational challenges, and helping partners maximize the value of Rappi's plat
Partnered with commercial and leadership teams to identify opportunities where data science and artificial intelligence could create business value for prospective clients across multiple industries.
Acted as a bridge between technical and business stakeholders, helping organizations understand how advanced analytics, machine learning, and AI solutions could address their operational and strategic
Worked on data science and analytics initiatives for AT&T, supporting large-scale data modernization efforts through data exploration, quality assessment, and opportunity identification.
Collaborated closely with data engineering teams to improve understanding of complex data ecosystems, document data assets, and uncover opportunities for analytics and data-driven solutions.
Key contributions:
• C
Supported the Business Intelligence and Commercial Strategy team by automating reporting processes, analyzing market data, and generating insights to support sales and distribution decisions.
Worked closely with commercial managers to improve visibility into market performance, customer opportunities, and competitive dynamics across retail channels.
Key contributions:
• Automated recurring busine
Education
Degrees, certifications, and relevant coursework
The University of British Columbia
Master's degree, Data Science
2025 - 2026
Universidad Nacional Autónoma de México
Bachelor of Science - BS, Actuarial Science
2015 - 2019
Availability
Location
Authorized to work in
Website
eligoze75.github.ioPortfolio
eligoze75.github.ioSalary expectations
Social media
Job categories
Skills
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