Dashboard // Welcome
// Hello, I'm

Welcome to my Dashboard

Marketing Science & Ad-Tech Developer with 8+ years building end-to-end MarTech solutions. Bridging engineering and marketing through data — from pipeline architecture and cloud infrastructure to predictive models and real-time dashboards.

Profile // About

I combine deep technical skill in Python, SQL, GCP, and AWS with strategic marketing analytics expertise. My career spans major Brazilian agencies (WMcCann, IPG Mediabrands), media companies (Rede Globo), AI startups (MINT), and international e-commerce (Filterbuy).

Academic background: MBA in Data Science (USP), MSc in Industrial Engineering (COPPE-UFRJ), dual BSc in Mechanical Engineering and Physics (UFF).

Email
rodrigo@rodtex.dev
Website
rodtex.dev
Languages
PT (Native), EN (Fluent), ES (Intermediate)
Location
Sao Paulo, Brazil
Metrics // Skills
Programming
Python 92%
SQL 88%
JavaScript 82%
HTML/CSS 85%
Analytics
Google Analytics 95%
GTM 93%
Looker 88%
DV360 80%
Cloud
GCP 90%
AWS 85%
Docker 70%
AI / ML
LLM Engineering 85%
Prophet 80%
Vertex AI 75%
Data Engineering
ETL Pipelines 90%
Redshift 88%
BigQuery 85%
Airflow 75%
Marketing Science
Media Mix Modeling 88%
Attribution Modeling 85%
Audience Segmentation 85%
A/B Testing 82%
Timeline // Experience
2022 — Present

Marketing Science & Ad-Tech Developer

Filterbuy · Miami, FL (Remote)

Leading the MarTech and analytics infrastructure for a D2C e-commerce company. Built end-to-end data pipelines, real-time dashboards, and ML models for customer acquisition and retention optimization.

2022 — 2023

Head of Data LATAM

IPG Mediabrands · Sao Paulo, Brazil

Led data strategy and analytics operations across Latin America for one of the world's largest media agency networks. Oversaw cross-functional teams delivering data-driven media planning and audience insights.

2020 — 2022

Data Manager

MINT · Sao Paulo, Brazil

Managed data engineering and analytics for an AI-powered advertising intelligence startup. Designed data architectures and automated reporting pipelines for major advertising clients.

2019

Data Analytics Manager

WMcCann · Sao Paulo, Brazil

Led analytics projects at Brazil's largest advertising agency (WPP group). Developed measurement frameworks and attribution models for top-tier brand campaigns.

2018

Data Scientist

Rede Globo · Rio de Janeiro, Brazil

Applied data science to media and content analytics at the largest TV network in Latin America. Built predictive models for audience behavior and content performance.

2017

Data Science Consultant

Bridge · Rio de Janeiro, Brazil

Delivered data science consulting projects spanning statistical modeling, process optimization, and analytical tool development for diverse industry clients.

Records // Education
MBA in Data Science & Analytics
USP — Universidade de Sao Paulo
2021
MSc in Industrial Engineering
COPPE-UFRJ — Federal University of Rio de Janeiro
2018
BSc in Mechanical Engineering
UFF — Universidade Federal Fluminense
2016
BSc in Physics
UFF — Universidade Federal Fluminense
2016
Projects // Portfolio

Amazon Bid Optimization Engine

Automated bid and budget optimization for Amazon Advertising using serverless AWS Lambda functions with real-time performance feedback loops.

Python AWS Lambda Amazon Ads API

Causal Impact Analysis

Incrementality testing frameworks using geo-holdouts and matched market experiments to measure true causal lift of marketing campaigns.

Python CausalImpact Geo-Experiments

Vertex AI Recommendations

Product recommendation engine on Google Vertex AI for e-commerce, leveraging collaborative filtering and BigQuery ML.

Python Vertex AI BigQuery

Marketing Mix Model

MMM using Google Meridian framework for media budget optimization with Bayesian inference and scenario simulation.

Python Meridian Bayesian

Data Warehouse

End-to-end data warehouse design, build, and maintenance on Redshift and BigQuery — ETL pipelines, schema optimization, and 40% query cost reduction.

Redshift BigQuery Matillion

Predictive LTV Model

24-month customer lifetime value prediction using RFM features and XGBoost, integrated with server-side pixel for media optimization.

Python XGBoost RFM

Google Ads Automation

Automated Google Ads campaign management scripts using the Google Ads API and GAQL for bulk operations and performance tuning.

Python Google Ads API GAQL

Server-Side GTM

Server-side Google Tag Manager implementation that uncovered 30%+ conversion undercounting from ITP/ad blockers, driving first-party data infrastructure.

GTM Cloud Run Meta CAPI