Data Infrastructure

Be it extract, transform, load (ETL) pipeline builds or simply taking what lived in Excel to the cloud, small to medium sized businesses need scaleable data architecture in order to move quickly.

During my data science specialization, I built predictive models on top of cloud-based datasets.
At American Honda Motors, I helped build the infrastructure with our IT team to automate inputs into an advanced econometric model (marketing mixed model). This included raw Adobe Analytic web data, paid media, sales, etc.
At Universal Music Group, I worked on the internal advertising team for 5 years to build the data infrastructure for optimizing paid media. The tables combined advertising, streaming, and revenue to give our music labels daily feeds of how their medi
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Data Analytics