
Contributed to the Esri/arcgis-python-api repository by developing and refining Jupyter notebook samples focused on human activity recognition using the TabPFN classifier. Work included building an end-to-end workflow for data loading, preprocessing with Linear Discriminant Analysis, model training, prediction, and accuracy evaluation, all implemented in Python. Enhanced documentation and code readability to improve onboarding and reproducibility, while ensuring licensing compliance and consistent naming across notebooks. Added installation instructions and usability improvements to support new users. Demonstrated strengths in data science, machine learning, and technical writing, with a focus on maintainable, well-documented code and clear, reproducible workflows for tabular data analysis.
Monthly work summary for 2025-12 focusing on business value and technical achievements for Esri/arcgis-python-api. The month centered on enhancing notebook usability for TabPFN users and improving onboarding experience for new users of the ArcGIS Python API.
Monthly work summary for 2025-12 focusing on business value and technical achievements for Esri/arcgis-python-api. The month centered on enhancing notebook usability for TabPFN users and improving onboarding experience for new users of the ArcGIS Python API.
February 2025 (Esri/arcgis-python-api) focused on TabPFN notebook improvements and bug fixes. Delivered license guidance, improved HAR documentation, and corrected references to TabPFN across notebooks. This work enhances user onboarding, licensing compliance, and notebook reliability, while showcasing strong documentation, code maintenance, and cross-notebook consistency.
February 2025 (Esri/arcgis-python-api) focused on TabPFN notebook improvements and bug fixes. Delivered license guidance, improved HAR documentation, and corrected references to TabPFN across notebooks. This work enhances user onboarding, licensing compliance, and notebook reliability, while showcasing strong documentation, code maintenance, and cross-notebook consistency.
January 2025: Delivered an end-to-end Human Activity Recognition sample notebook for the Esri/arcgis-python-api, demonstrating classification with the TabPFN classifier. The notebook covers data loading, preprocessing with Linear Discriminant Analysis (LDA), model training, prediction, and accuracy assessment, followed by a targeted refactor to improve readability and documentation.
January 2025: Delivered an end-to-end Human Activity Recognition sample notebook for the Esri/arcgis-python-api, demonstrating classification with the TabPFN classifier. The notebook covers data loading, preprocessing with Linear Discriminant Analysis (LDA), model training, prediction, and accuracy assessment, followed by a targeted refactor to improve readability and documentation.

Overview of all repositories you've contributed to across your timeline