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Andy Tan

PROFILE

Andy Tan

Andy Tan developed core data ingestion, analytics, and backend abstraction features for the google/meridian repository, focusing on scalable, reproducible modeling and visualization workflows. He engineered a unified backend layer supporting both TensorFlow and JAX, enabling flexible numerical operations and probabilistic sampling. His work included robust data validation, time-aware analytics, and dynamic charting using Python, JAX, and Vega-Lite, ensuring reliable geospatial-temporal evaluation and organic media analysis. Andy addressed edge cases in spend analytics, improved serialization and testing, and maintained code quality through refactoring and documentation. His contributions deepened backend flexibility and data integrity, supporting maintainable, cross-backend machine learning pipelines.

Overall Statistics

Feature vs Bugs

78%Features

Repository Contributions

64Total
Bugs
4
Commits
64
Features
14
Lines of code
14,201
Activity Months9

Work History

October 2025

2 Commits • 2 Features

Oct 1, 2025

Performance summary for 2025-10: Delivered JAX backend integration for prior_sampler in google/meridian, enabling stateful RNG via PRNGKeys and ensuring proper handling of JAX's stateless RNG within sampling methods; updated tests to reflect the switch from error to warning for set_random_seed in JAX. Also performed code formatting and readability cleanup in model.py and model_test.py to improve maintainability, with autoformatting committed. Overall, these changes improve reproducibility, reliability of sampling under JAX, and code quality for future enhancements.

September 2025

18 Commits • 2 Features

Sep 1, 2025

2025-09 monthly performance: Delivered cross-backend Meridian consolidation with JAX support, enabling unified backend usage across visualization, testing, and sampling. Introduced backend-agnostic utilities and RNG handling to ensure consistent, cross-backend operation and reproducibility. Implemented runtime backend selection via MERIDIAN_BACKEND and serialization compatibility across components, simplifying cross-backend experiments and deployments. Enhanced Adstock and Hill calculations for cross-backend compatibility, including JAX boolean masking and fixed channel alignment. Expanded testing to validate both TensorFlow and JAX backends and adjusted tolerances to accommodate backend-specific behavior. Improved code quality and data serialization (e.g., prior_distributions and related utilities) to support stable, repeatable results across environments.

August 2025

18 Commits • 2 Features

Aug 1, 2025

August 2025 monthly summary: Implemented foundational backend abstraction enabling multi-backend support (JAX, TensorFlow) across Meridian core modules and centralized backend ops under meridian.backend, enhancing testability, maintainability, and future extensibility. Expanded analytics capabilities with Organic RF support across Analyzer, Hill curves, and plotting, with docs and tests updated. Other notable improvements include deterministic RNG seeding in prior_sampler and migration of components to the backend API (backend.Tensor usage, etc.).

July 2025

1 Commits • 1 Features

Jul 1, 2025

Monthly summary for 2025-07 focusing on business value and technical achievements in google/meridian.

April 2025

12 Commits • 3 Features

Apr 1, 2025

April 2025 monthly summary focused on delivering richer channel insights, expanding organic media analysis, and ensuring release hygiene for Meridian. The work emphasized business value through time-aware visualizations, cross-channel comparisons, and maintainable release processes.

March 2025

5 Commits • 2 Features

Mar 1, 2025

March 2025 — google/meridian: Implemented data validation and integrity improvements, enhanced analytics capabilities, and improved visualization robustness. Focus areas included data integrity for geometry and coordinates, time-aware metrics for contribution analytics, and responsive Vega charts to fit dynamic containers. These changes increase reliability of data processing, enable time-based insights, and improve visualization UX for end users and business stakeholders.

February 2025

1 Commits

Feb 1, 2025

February 2025 monthly summary focusing on bug fixes and stability improvements for google/meridian. Key contributions include addressing a critical edge-case in Budget Optimizer and strengthening test coverage, delivering business value through more reliable spend analytics.

January 2025

1 Commits

Jan 1, 2025

January 2025 monthly summary focused on stabilizing national model evaluation in google/meridian by fixing a holdout filtering index bug, improving 1D time indexing handling, and expanding test coverage. No new features shipped this month; main work centered on bug fix with direct business value in model reliability and data integrity.

December 2024

6 Commits • 2 Features

Dec 1, 2024

December 2024 monthly summary for google/meridian focusing on delivering end-to-end data ingestion and analysis capabilities, stabilizing data integrity, and enabling geospatial-temporal evaluation at scale.

Activity

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Quality Metrics

Correctness96.6%
Maintainability93.2%
Architecture92.8%
Performance84.4%
AI Usage20.2%

Skills & Technologies

Programming Languages

HTMLJAXJavaScriptMarkdownPythonSQLTensorFlow

Technical Skills

API DesignAPI IntegrationAbstraction LayerAltairBackend DevelopmentBackend IntegrationCode AbstractionCode FormattingCode RefactoringConditional LogicConfigurationData AnalysisData EngineeringData ModelingData Science

Repositories Contributed To

1 repo

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

google/meridian

Dec 2024 Oct 2025
9 Months active

Languages Used

PythonSQLHTMLJavaScriptMarkdownJAXTensorFlow

Technical Skills

Backend DevelopmentData AnalysisData EngineeringData ModelingData ValidationMachine Learning

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