Luis Santiago Ravotti

2.5 years Led advanced data science projects using Python and machine learning. Designed a new commission pricing model using data science and economic optimization techniques to maximize platform profitability and align advertiser incentives. Performed ingestion and aggregation of stock market and company data to identify patterns and support strategic investment decisions. Constructed Python/SQL-based ETL/ELT pipelines and efficient view logic in BigQuery and dbt. Spearheaded the migration from BigQuery to dbt, including refactoring and modular data modeling.

1 year Applied regression and clustering techniques to analyse user behaviour and affiliate marketing performance, generating insights relevant to consumer economics, segmentation, and pricing strategies. Developed statistical and machine learning models for forecasting, classification, and clustering tasks. Created in-depth ad hoc analyses to support strategic decisions. Optimized queries using dbt and Google Cloud for efficient data processing. Built and automated data pipelines using cloud jobs and functions.