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Diego SpamerDS
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Diego Spamer

@diegospamer1

I build scalable analytics systems that turn ambiguity into decisions.

Mexico
Message

What I'm looking for

I want to lead cross-functional efforts building scalable analytics systems—classification, forecasting, and NLP—that are operationalized with strong governance. I’m looking for a mandate to solve complex commercial problems and turn insights into faster, better decisions.

Over 13 years, I build analytics systems that outlast the projects that created them—spanning media/entertainment (NBCUniversal) and FMCG (Diageo). My edge is the intersection of technical depth and business influence: I translate ambiguous commercial problems into reproducible analytical solutions, then operationalize them across regions. I’m at my best when I’m given a complex problem, a cross-functional team, and the mandate to build something that scales.

I’ve delivered measurable impact through classification, forecasting, and decision frameworks. I designed an outlet classification system across 5 LATAM clusters (10k+ stores) using SQL/Python, surfacing unsupervised gaps that projected ~20% incremental revenue through targeted interventions. I engineered ML forecasting on an $80M+ annual film slate with 10–14% error rate, improving budget allocation accuracy and reducing over-budget incidents, while also building NLP-driven consumer intelligence from 10k+ exit survey responses.

In my current role as an Analytics & Insights Operations Lead, I own regional infrastructure with zero data downtime across 10+ LATAM markets, established data governance protocols, retrained 50+ commercial users, and reduced request fulfillment time by 35%. I also lead operational transitions to regional partners, deploy AI-powered analytics tooling (including a bottle classification agent), and reinforce a data culture through “Data for Breakfast” executive intelligence and ongoing teaching in UNAM’s Industry 4.0 program.

Experience

Work history, roles, and key accomplishments

UU
Current

Guest Instructor (UNAM)

Universidad Nacional Autónoma de México (UNAM)

Aug 2025 - Present (10 months)

Teach analytics, decision support systems, and data applications within UNAM’s Industry 4.0 professional development program, mentoring practitioners on SQL and Python for data-driven problem solving in industrial and digital contexts.

DI
Current

Analytics & Insights Lead

Diageo

Jul 2024 - Present (1 year 11 months)

Architected a LATAM outlet classification system using SQL/Python to identify 10k+ unsupervised stores across 5 clusters, projecting ~20% incremental revenue through targeted interventions. Owned regional analytics infrastructure across 10+ markets with zero data downtime, established data governance, retrained 50+ users, and reduced request fulfillment time by 35%.

NB

Data Strategy & BI Leader

NBCUniversal

Jul 2013 - May 2024 (10 years 10 months)

Built ML forecasting capability from scratch and engineered forecasting models achieving 10–14% error rate on $80M+ film portfolio, improving budget allocation accuracy and preventing over-budget incidents. Launched weekly “Data for Breakfast” executive intelligence briefs, scaled Python/SQL ETL and dashboards (reducing delivery time by 40%), and advanced NLP-based audience diagnostics from 10k+ f

Education

Degrees, certifications, and relevant coursework

Universidad Nacional Autónoma de México (UNAM) logoUU

Universidad Nacional Autónoma de México (UNAM)

Industrial Engineer, Industrial Engineering

Completed an Industrial Engineer program at UNAM in Mexico City.

Tech stack

Software and tools used professionally

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