Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration.
Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions.
Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world.
Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly- developing within the Big Data space.
Uses traditional modeling techniques to build models that support decision making. Develops reports, charts, tables, and other visual aids in support of findings.
Advises business partners with regard to patterns and relationships in data to recommend business direction or outcomes
Linked-in
Google