Data Extraction & Analysis Project

I have a sizable dataset that first needs to be cleanly extracted and then thoroughly analyzed. Because the information comes from multiple sources, I will provide a mix of Excel/CSV tables, a small hosted database dump, and several raw text exports. Your role starts with consolidating these inputs into a single, well-structured dataset, handling any duplicates or inconsistencies along the way.

Once the data is tidy, I would like meaningful insights that help me understand underlying patterns. I’m especially interested in spotting emerging trends, assembling a clear, reader-friendly report, and—if the data supports it—building a simple predictive model that I can run again in the future. Please outline the statistical or machine-learning techniques you feel are most appropriate so we can agree on the best approach before you begin.

Deliverables I need from you:
• A cleaned, documented master dataset in the original format plus CSV
• A concise analysis report (PDF or slide deck) highlighting key findings and actionable recommendations
• Any scripts or notebooks (Python, R, SQL, or similar) used during extraction and analysis, fully annotated so I can reproduce results

I’ll be available for quick questions and milestone reviews, and I expect regular progress updates. If you have relevant examples of past analytical work—especially where you moved from raw data to clear insights—please share them with your proposal so I can gauge fit quickly.