Industrial Engineer Data Scientist Marketing Analyst

I'm a Data Scientist and Industrial Engineer with a background in digital marketing, advertising analytics, and business strategy.

I currently focus on Marketing Mix Modeling (MMM) — building end-to-end pipelines from raw advertising data to causal sales decomposition and budget optimization. My work answers the question that last-click attribution can't: what's actually driving sales?

Previously, I led the advertising department at AMZ Advisers, where I built data pipelines, predictive models, and the operational systems for a team of 11 analysts managing international brands on Amazon.

Before that, I worked as an Advertising Data Strategist at Snowball Partners, using data analysis to create and optimize campaigns across digital channels.

I'm trilingual (Spanish, English, German — Goethe-Schule Abitur) and actively exploring opportunities in marketing analytics and MMM roles in Europe and remotely.

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Iván Dalesson

Expertise

MMM
Marketing Mix Modeling (MMM)
End-to-end MMM builds: adstock and Hill saturation transforms, OLS and Bayesian regression, sales decomposition by channel, response curves, and budget optimization. Privacy-safe by design.
Advertising Analytics
Advertising Analytics
Five years optimizing paid media across Amazon, Google, and Meta. ROAS, TACoS, ACoS analysis, keyword harvesting, wasted spend identification, and KPI framework design.
Data Pipelines
Data Pipelines & Automation
Python ETL pipelines for multi-source ingestion, anonymization, star-schema warehouse design, idempotent loads, and API integration for real-time performance tracking.
Machine Learning
Machine Learning & Data Analytics
Training and implementing ML models for classification, forecasting, and pattern detection. Creating dashboards and automating reports for data-driven decision-making.

Work Experience

Achievements Role Period
  • Owned the data and analytical systems behind a 7-figure portfolio across 100+ marketplace accounts (US, CA, MX, EU)
  • Designed and built an internal ETL tool in Python ingesting Amazon Ads and Seller Central API data, automating account audits and surfacing prioritized opportunities
  • Processed and analyzed large volumes of campaign and sales data with Python and SQL to identify trends and resolve anomalies
  • Founded the advertising department from scratch: recruited and led an 11-person cross-cultural team across multiple time zones
  • Created KPI frameworks aligning team incentives with business outcomes
Director of Advertising & Analytics
AMZ Advisers
2021 – 2025
  • Creation of advertising campaigns, strategies and processes
  • Integrated paid-media performance data with organic (SEO) signals to make decisions for a portfolio of mid-market sellers
  • Conducted root-cause analysis for campaign performance reports
Advertising & Analytics Strategist
Snowball Partners
2020
  • B2C selling via social media, WhatsApp, phone and face to face
  • Copywriting and informal A/B testing on messaging
  • Systematized the lead-to-customer conversion funnel
Customer Acquisition
Uopak
2016 – 2017

Education

Title Institution
Industrial Engineer
Universidad de Buenos Aires
Abitur (German High School Diploma)
Goethe-Schule

Languages

LanguageLevelCertification
SpanishNative
EnglishFluent / ProficientFirst Certificate (FCE)
GermanFluent / C1Goethe-Schule Abitur

My Portfolio

Visit My GitHub
Amazon Product Launch
Amazon Product Launch
Full Amazon product launch strategy. Market research, listing optimization, PPC campaign architecture, and launch analytics.
View Document
Ads Data Pipeline
Ads Data Pipeline
End-to-end ETL with Python + SQL. 4-source ingestion, anonymized star-schema SQLite warehouse, 5 analytical queries, and MMM layer with budget optimizer.
View on Github
Scraper Bot
Scraper Bot
Python scraper bot for automated data collection, structured extraction, storage pipeline, and scheduling.
View on Github
Statistical Modeling
Statistical Modeling & Regression Diagnostics
Regression diagnostics, residual analysis, and statistical validation. Foundation for the MMM methodology.
View Document
Supply Chain
Supply Chain Optimization
Mathematical modeling and optimization applied to supply chain challenges using operations research techniques.
View Document
Statistical Inference
Statistical Inference & Probability Modeling
Probability theory, statistical inference, and modeling techniques applied to real-world analytical problems.
View Document