![Steve Scherrer, Ph.D.](/sites/default/files/styles/headshot/public/media/images/steve-scherrer-4696-uuid-669b4dd721606.png?itok=Jlrwrykd)
![Steve Scherrer, Ph.D.](/sites/default/files/styles/headshot/public/media/images/steve-scherrer-4696-uuid-669b4dd721606.png?itok=Jlrwrykd)
- Ph.D., Marine Biology, University of Hawaii, Manoa, 2019
- B.A., Communication, University of California, Santa Barbara, 2008
Dr. Steve Scherrer is an expert in helping clients get the most from their data. Whether it be scoping solutions, engineering data pipeline infrastructure, developing KPI metrics, data analysis with statistical and machine learning methodologies, or developing dashboards and other visualizations to provide stake holders with actionable insights, Dr. Scherrer can help maximize the value of your data.
Steve has lead teams responsible for data collection, quality control, and delivery of datasets for training AI models for next generation hardware features. He has expertise bringing together a variety of data sources, including using public API and database resources, computer vision models, and web scraping, to building complex data systems to train models and provide stakeholders with real time updates and forecasts. At Exponent, he has applied these skills to build robust systems providing utility companies with real time alerts and service information.
While a Data Engineer with Teksystems, Steve analyzed the cost attribution and resource utilization of advertising models. Collaborating with internal stakeholders, his work played a crucial role in enhancing ROI decision-making and long-term planning by building scheduled ETL pipelines and dashboards to monitor data governance initiatives.
Dr. Scherrer boasts a diverse and impressive background encompassing roles in data science, engineering, and academia. He received his degree from the University of Hawai`i where he applied his skills to sustainable decision-making for Hawaii's fisheries. Here his analytical prowess shone as they worked with telemetry data from fish and fishers to evaluate existing management measures using Python, R and GIS. He also developed libraries and packages for optimizing the deployment of sparse sensor arrays.