
Worked on enhancing data visualization within the ImperialCollegeLondon/proCAT repository by delivering a targeted feature that repositioned the legend in capacity plots to the bottom-left. This adjustment, implemented using Python and data visualization libraries, improved the clarity and presentation of capacity charts, making them more accessible for stakeholders and supporting faster decision-making. The work involved careful adherence to plotting conventions and collaborative development practices using Git, with traceable commits documenting the changes. No major bugs were addressed during this period, but minor maintenance and code cleanup accompanied the feature rollout, ensuring alignment with product goals for clearer, actionable data insights.
October 2025: Focused on enhancing data visualization in ImperialCollegeLondon/proCAT. Delivered a targeted feature improvement for capacity plots by repositioning the legend to the bottom-left, resulting in clearer, more presentation-friendly visuals. No major bugs fixed this month; minor maintenance and cleanup accompanied the rollout. Impact: clearer capacity insights for stakeholders, enabling faster decision-making and better capacity planning. Technologies/skills demonstrated: data visualization adjustments, Git-based collaboration with traceable commits, and adherence to plotting conventions.
October 2025: Focused on enhancing data visualization in ImperialCollegeLondon/proCAT. Delivered a targeted feature improvement for capacity plots by repositioning the legend to the bottom-left, resulting in clearer, more presentation-friendly visuals. No major bugs fixed this month; minor maintenance and cleanup accompanied the rollout. Impact: clearer capacity insights for stakeholders, enabling faster decision-making and better capacity planning. Technologies/skills demonstrated: data visualization adjustments, Git-based collaboration with traceable commits, and adherence to plotting conventions.

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