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Marlene Hirose

PROFILE

Marlene Hirose

Over six months, contributed to the mozilla/looker-spoke-default repository by building and refining business intelligence features, including cohort analytics, desktop funnel tracking, and Firefox.com traffic analysis. Focused on LookML and SQL to expand data models, enhance dashboard capabilities, and deliver granular metrics for product and business teams. Prioritized codebase hygiene by removing obsolete dashboards and views, reducing technical debt, and improving onboarding for future contributors. Delivered new explores and views for event streams and crash metrics, enabling more reliable reporting and analysis. Emphasized maintainability and data quality through systematic refactoring, clear labeling, and consistent application of data modeling best practices.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

43Total
Bugs
1
Commits
43
Features
8
Lines of code
20,470
Activity Months6

Work History

December 2025

20 Commits • 2 Features

Dec 1, 2025

December 2025 monthly summary for mozilla/looker-spoke-default focused on delivering business-critical analytics features, improving crash visibility, and strengthening code quality. Key outcomes include a new Desktop funnel installs tracking view and a supporting dashboard to visualize desktop distribution funnel for analyzing user acquisition channels, and a comprehensive Firefox crash metrics overhaul with new aggregates, filtering dimensions, and views to better quantify crashes and affected users. In addition, the codebase was cleaned up for readability and maintainability by removing a placeholder dashboard, trimming unnecessary newlines, and removing extraneous '+' signs. These efforts collectively advance data-driven decision-making and reduce long-term maintenance burden.

October 2025

3 Commits • 1 Features

Oct 1, 2025

October 2025: Delivered Cohort Analytics in Looker, including daily churn, retention measures, and organized cohort explores; added weekly_stats for active and cohort retention; reorganized data access with country joins; cleaned the data model by renaming glean_cohort_churn to cohort_daily_churn and adding glean_cohort views. This work improves monitoring, attribution, and decision making with a cleaner, scalable Looker model.

August 2025

14 Commits • 2 Features

Aug 1, 2025

August 2025 monthly summary for mozilla/looker-spoke-default focusing on delivering a cleaner, more capable analytics surface and reducing technical debt. Key feature work delivered a new Event Stream Explore with extras and an enhanced data model, while a broad deprecation/cleanup passed removed legacy components to streamline maintenance and align with current analytics goals. These changes improve explore capabilities for product teams, reduce surface area for future changes, and prepare the data model for upcoming features.

July 2025

3 Commits • 1 Features

Jul 1, 2025

July 2025 – mozilla/looker-spoke-default: Focused codebase cleanup by removing obsolete mobile forecast LookML files, updating the main model to reflect deletions, and deleting legacy dashboards. This reduces technical debt, eliminates stale artifacts, and improves maintainability, onboarding, and build stability. No major defects reported this month; cleanup mitigates risk by removing outdated forecasting components and clarifying the code surface.

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for mozilla/looker-spoke-default: Delivered Firefox.com Looker analytics enhancements, expanding data coverage and enabling granular business insights without modifying existing models.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 monthly work summary for repository mozilla/looker-spoke-default. Focused on codebase hygiene and removal of unused assets. No major bugs fixed this month. The primary delivery was removing the kpi_installs dashboards, explore, and view assets to streamline maintenance and reduce technical debt, improving long-term maintainability and onboarding for new contributors.

Activity

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Quality Metrics

Correctness97.2%
Maintainability94.0%
Architecture95.4%
Performance94.0%
AI Usage21.4%

Skills & Technologies

Programming Languages

LKMLLookMLSQLlkml

Technical Skills

Business IntelligenceDashboard DevelopmentData AnalysisData ModelingData VisualizationData WarehousingETLLookMLLookerLooker DevelopmentSQLcode cleanlinessdashboard developmentdata analysisdata modeling

Repositories Contributed To

1 repo

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

mozilla/looker-spoke-default

Feb 2025 Dec 2025
6 Months active

Languages Used

LookMLLKMLSQLlkml

Technical Skills

Data ModelingData VisualizationETLBusiness IntelligenceLookerLooker Development