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TIME SENSITIVE PROJECT Description: I have approximately 200 reports in Excel and PDF format. These reports contain tables or structured/semi-structured data, but the formatting, field names, and file naming conventions vary significantly across files. I'm looking for a skilled data analyst or Python developer who can help me compare these reports and identify which ones are at least 60% similar in content. This will require fuzzy matching techniques and possibly data normalization. Responsibilities: Extract data from PDF and Excel reports (some may require OCR or table parsing). Clean and normalize the data across all files. Compare the reports and determine which are ≥60% similar based on data content. Deliver a summary of matched report pairs or groups with similarity scores....