I have already gathered a sizeable spreadsheet of phone numbers, email addresses and IP addresses; now I need all of those crumbs stitched together so I can see the real-world picture behind them. The most valuable outcome for me is showing how each digital identifier connects to WiFi networks, SSID names and the physical addresses where those networks sit. You will receive - CSV files containing the phone, email and IP data. - A handful of screenshots and documents whose original EXIF and other metadata are still intact. - A brief note on the investigative context so you understand why specific links matter. What I need back - A clear, well-structured report that walks through every correlation you uncover, complete with confidence levels and the logic or tool output that supports each finding. - A link-analysis chart (Maltego, i2 Analyst Notebook, yEd, or similar) showing relationships among identities, infrastructure and locations. - All parsed metadata and any scripts or command logs you run so the work is reproducible. Acceptance criteria 1. Each data point I provide appears in the final graph, either linked or explicitly marked “no link found.” 2. Any claimed tie between a person and a location is backed by at least two independent artefacts. 3. Methodology is transparent—if you use SpiderFoot, Recon-ng, Python notebooks, WiGLE, Shodan, etc., include the steps or code. Feel free to lean on the OSINT stack you trust most; I care about accuracy, transparency and a clean hand-off more than the specific tools. Timeline is roughly one week from kickoff, and I will supply an NDA before sharing the raw data.