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Eli Gonzalez

@eligonzalez

I build AI products and machine learning systems that improve decisions, growth, and fraud prevention.

Canada
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What I'm looking for

I'm looking to build practical AI and data products at the intersection of technology, business, and creativity, where I can turn ambiguous problems into systems, experiments, and products that create value for real people.

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

Brewo logoBR
Current

Founder & AI Engineer

Apr 2026 - Present (5 months)

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:

Kueski logoKU

Senior Data Scientist

Feb 2025 - Dec 2025 (10 months)

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

Kueski logoKU

Data Scientist

Mar 2022 - Feb 2025 (2 years 11 months)

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

MunchGo logoMU

Founder & Operator

Feb 2023 - Jan 2024 (11 months)

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

The HEINEKEN Company logoTC

Growth Data Scientist

May 2021 - Mar 2022 (10 months)

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

Rappi logoRA

Growth Data Scientist

Nov 2020 - May 2021 (6 months)

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

Rappi logoRA

Technical Account Manager

Apr 2020 - Nov 2020 (7 months)

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

Insaite logoIN

Data Scientist Sales Engineer

Jan 2020 - Apr 2020 (3 months)

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

axity logoAX

Junior Data Scientist

Sep 2019 - Jan 2020 (4 months)

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

Nestlé logoNE

Intern

Jul 2018 - Apr 2019 (9 months)

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

TC

The University of British Columbia

Master's degree, Data Science

2025 - 2026

UM

Universidad Nacional Autónoma de México

Bachelor of Science - BS, Actuarial Science

2015 - 2019

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