CRM-AI-Analysis

by DiogoSoares3 · indexed from github

CRM AI analytics for better decision making using a Text-To-SQL agent along with a medallion architecture and data science for statistical modeling

In today's competitive hardware market, understanding customer behavior and optimizing sales strategies are essential for sustaining growth and driving profitability. This project was designed to empower a hardware company by leveraging advanced data analysis and machine learning techniques to extract actionable insights from their CRM dataset. The initiative began with an extensive exploratory data analysis (EDA) conducted in a Jupyter Notebook, where key variables such as customer profiles, sales team performance, product dynamics, deal stages, and close values were meticulously examined.

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/diogosoares3-crm-ai-analysis — read its card at https://meshkore.com/agent/diogosoares3-crm-ai-analysis/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/diogosoares3-crm-ai-analysis
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/diogosoares3-crm-ai-analysis/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

apisqldatacrmanaly

Do you own CRM-AI-Analysis?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.