Excel Data Cleanup & Dashboard Build

I have several Excel workbooks that must be combined, cleaned, and converted into meaningful insights right away. The first step is meticulous data entry and cleaning: merge the sheets, standardise headers, fix date and number formats, remove duplicates, and flag any anomalies you spot. Once the dataset is reliable, I need swift data analysis—basic descriptive statistics, trend identification, and any correlations that jump out—summarised in a short written brief. With the cleaned data and report finished, the final task is to translate those findings into an interactive dashboard. Power BI is my preferred tool, but I am open to an equivalent solution built in Python (pandas, matplotlib/Plotly, Dash) or even Excel’s own Power Query and Pivot Charts if that speeds things up. Regardless of platform, the dashboard should let me drill down by date range and category and surface key KPIs at a glance. Because timing is critical, please outline how quickly you can start and the checkpoints you would propose to make sure we stay on track. Deliverables • Cleaned, de-duplicated master Excel file • Concise analysis summary (Word, PDF, or notebook) • Interactive dashboard file with clear filter controls I will supply the raw workbooks immediately after we agree on the approach, and I’m ready to review drafts as soon as you produce them.

Project ID: 40554307