Welcome! I’m a Data and Analytics Executive leading teams in Data Science, Analytics Engineering, Architecture, and Governance. From AI / ML models to data pipelines to data warehouse design, I implement analytics strategies to improve business outcomes and enable data informed decision making.
When incremental improvements to your machine learning model don't move the needle enough, consider ways to capture new data points through product features and website checkout processes.
Some SaaS metrics are commonly used without questioning how they optimize results. Consider KPIs relevant to your business and how to implement a BI metrics layer that serves the entire company.
When existing machine learning models perform well with structured data, incorporating deep learning models from unstructured data can be easier than expected, and improve outcomes along the way.
A common theme in Data Science and Analytics is how challenging it is to get a project across the finish line. Successful projects require Operations, Product Management, and a good Data leader.
Optimize opportunity win-rates with a machine learning approach to lead scoring, while avoiding the pitfalls of wrong incentives and arbitrary thresholds.
