Week 1: I got handed 4 CSVs and a problem. I gave back a system.

Week 1: I got handed 4 CSVs and a problem. I gave back a system. Jumped on a call with the client to understand the data structure and the enrichment work that already existed. The challenge wasn’t the enriched data. It was understanding V1 and V2 - both were already built and already feeding data into a sequencer. Understanding V1 is the hardest part. V2 is much more straightforward. Whereas V1 is a rabbit hole. You can see the complexity in Miro board screenshots below. The major enrichments in there were → Scoring and tiering based on titles → Mapping contacts against the representative at the company (client side) Tools used 1. Clay 2. Miro 3. Fathom.ai You might wonder why Miro and Fathom matter here. They’re basic tools. Everyone uses them. But these two alone saved me a lot of effort. Because the data was messy, I had to keep going back and forth through the call recording, while mapping logic and data flow on a Miro board before even thinking about building V3. The most time consuming part of this project wasn’t building. It was understanding how data actually flowed through V1. Data points Contacts → previous relation → no relation → previous relation but new company Companies → previous relation → no relation → new company Live signals → n8n scrape from job boards All of this had to be merged and deduped - without losing any meaningful contact or context. Still early. Still messy. More soon.