
Worked on the teslamate-org/teslamate repository to enhance the Statistics Dashboard by refining the charge_energy_added filter, adjusting its threshold from 0.1 to 0. This update improved the relevance and visibility of charging energy data, supporting more accurate fleet analytics and data-driven decision-making. The technical approach involved careful data filtering and disciplined version control, with all changes clearly documented in the project changelog. Demonstrated skills in dashboarding and data visualization, utilizing Markdown for documentation and communication. No major bugs were addressed during this period, with the primary focus placed on delivering targeted feature improvements to the dashboard’s analytical capabilities.
May 2026 monthly summary for teslamate-org/teslamate. Delivered targeted enhancements to the Statistics Dashboard by refining the charge_energy_added filter to improve data relevance and visibility. Updated the changelog to reflect the change. No major bugs fixed this month in the repository. Overall, the update enhances charging energy analytics, enabling better fleet insights and data-driven decisions. Demonstrated skills in feature delivery, data filtering, changelog maintenance, and disciplined version control.
May 2026 monthly summary for teslamate-org/teslamate. Delivered targeted enhancements to the Statistics Dashboard by refining the charge_energy_added filter to improve data relevance and visibility. Updated the changelog to reflect the change. No major bugs fixed this month in the repository. Overall, the update enhances charging energy analytics, enabling better fleet insights and data-driven decisions. Demonstrated skills in feature delivery, data filtering, changelog maintenance, and disciplined version control.

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