Diego Nul

I work within the ML team developing tools and processes for building, training , deploying and monitoring ML models. On the data science side I work with models to optimize revenue in email campaigns.

First data scientist and data engineer. Responsible for data engineering, reporting and data analysis. Setup a framework for collecting, analyzing and extracting bussiness value from the events of multiple products. Leveraging Apache Airflow to run data workflows, AWS redshift as an analytical database, DBT to model data, Metabase to produce dashboards, jupyter-notebooks to run custom analysis and reports. Also A/B testing, user-behaviour analysis, growth analytics.