
Worked on enhancing report presentation and statistical analysis for the MarieEtienne/2024_MODE_OCR repository, focusing on improving the clarity and usability of analytics outputs. Leveraged R programming and statistical modeling to add a global conclusion, number figures, and refine the layout for more consistent report rendering. Addressed layout quirks and ensured that all figures were properly referenced, supporting clearer communication of results. Emphasized data analysis best practices and improved documentation to streamline quality assurance and stakeholder validation. The work delivered a more robust and maintainable reporting workflow, reducing the potential for downstream rework and aligning outputs with evolving business requirements.
Month: 2024-10 | Repository: MarieEtienne/2024_MODE_OCR. Key deliverable: Enhanced Report Presentation and Statistics. The update introduces a global conclusion, numbered figures, fixes to layout quirks, refinements of statistical results presentation, and ensures correct figure references in the report. This aligns with business needs by delivering clearer analytics outputs and reducing downstream rework.
Month: 2024-10 | Repository: MarieEtienne/2024_MODE_OCR. Key deliverable: Enhanced Report Presentation and Statistics. The update introduces a global conclusion, numbered figures, fixes to layout quirks, refinements of statistical results presentation, and ensures correct figure references in the report. This aligns with business needs by delivering clearer analytics outputs and reducing downstream rework.

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