Marketing Science Partner consulting for the biggest Facebook advertisers in the Entertainment industry in the US. Charged with driving good measurement, working with internal and external stakeholders to advise clients on measurement strategy and work with them on an ongoing basis to adopt sophisticated methodologies as a way to improve business performance. On the data side, I'm a data scientist/product analyst and know how to perform descriptive and predictive analysis on large datasets. I use machine learning on multivariate data. I've worked heavily with Hierarchical, K-means (supervised and unsupervised), Random Forest, Gradient Boosting and Self Organizing Maps models. I write my own functions for Facebook's R packages and I'm the author of Globo.com's first corporate R package. I've helped business teams design their own experiments and A/B tests to drive product growth. I've also worked with UX research and done quite a few usability tests. My work lays exactly between the product management and the engineering team. I'm able to do strategic keynotes and concise presentations to key stakeholders and develop models alongside the data engineers. I've also been responsible for the statistical validation of big data solutions. I've trained analysts and directors inside companies in different disciplines, such as Planning, Strategic Measurement, R and Search Engine Optimization. I have experience in product analytics, a/b testing, machine learning, MMM, R, sparkR, pySpark, Jupyter, BigQuery, Rmarkdown, Presto SQL, Optimizely, Tealium Tag Manager, DAX, Comscore and Google Analytics.