Andrea D'Agostino

Data Scientist working in the field of digital marketing. I carry out descriptive and predictive analytics and embed data in visualization dashboards for stakeholders. I work closely with the various teams to convert their problem in an Analytics or Machine Learning solution.

Some of my works use supervised and unsupervised learning to detect changes in tracked websites and resources and classify user intent when querying search engines.
I am the creator of the SEO Content Intelligence process, a ML pipeline that uses clustering, classification and topic modeling techniques to detect online content cannibalization and duplication, together with forecasts on how traffic can change based on content and SEO effort.

Some of my contributions at the workplace:

• BI on Client's digital assets, this includes competitor monitoring and data-driven strategic insights

• Experimental research in digital marketing: testing how websites perform and how search engines value content and actions of website owners

• Machine learning for SEO and automation: optimization of the data flow and employee actions. Some of the applications are: user intent classifier, keyword clustering, time-series analyses for forecasting, Django/Flask-based APIs.