Eric Ahlgren Email & Phone Number

Cupertino, California, Us

· Execute data analysis for CV algorithms and present to stakeholders to drive product development decisions· Develop data collection, processing and analysis pipelines for large volume image data used in CV algorithm development· Collaborate cross-functionally with a variety of teams to design/implement studies to identify risks· Build apps (iOS, macOS/Unix) ad hoc to assist with data collection and curation efforts and improve throughput by as much as 70%

Cupertino, California, Us

· Designed and built a suite of automation tools for ML training data collection with robotics· Designed, built and administered an inventory database solution for highly sensitive materials· Executed statistical data analysis/visualization (failure analysis) of critical DNN algorithms· Implemented tools in Python for data processing, analysis and visualization

Cupertino, California, Us

Contracted through Ryzen Solutions· Designed, maintained and executed manual and automated QA testing for motion sensing algorithms· Developed Python scripts to automate tests, perform data curation, and data analysis· Used Apple’s internal issue-tracking software to report bugs, document test suites, and report test results· Proctored user studies to collect fitness-related data for QA and algorithm development in watchOS and iOS

Acquire and analyze spatially referenced data relating to infrastructure, population demographics and ecology for regions projected to be impacted by varying degrees of sea level rise. Provide maps for planning-related reports and presentations as needed.

Create a digital spatial index of historic parcel maps which will be accessible by the public on the CSO website. Using ArcGIS 10.2, create shapefiles through a combination of entering traverse descriptions of coordinate geometry (COGO) and tracing features from the current parcel boundaries. Using Excel, create accurate tabular data associated with each parcel map, so that layers will be searchable by date, name of requestor, name of surveyor etc.

• Provided a use-case study for Dr. Werner Kuhn’s “Core Concepts of Spatial Information” (site-suitability analysis for photovoltaic installation)• Using Python (GDAL, ArcPy), translated the core concepts and their associated functions, using data from the site-suitability analysis• Shared and updated code in a team environment using GitHub

Master Of Computer Science, Data Science

Bachelor Of Arts - Ba, Geography With Gis Emphasis, Earth Science Minor, Highest Honors, Degree Gpa = 4.0