Teams at Portcast

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Lead Portcast's end-to-end marketing function, focusing on product marketing, event strategy, cross-functional alignment, team leadership, and data-driven demand generation to drive pipeline and revenue for an enterprise B2B SaaS logistics platform.