You will get AI-Powered Analytics Layer — Natural Language Queries & Anomaly Detection

CHARLES S.Status: Offline
CHARLES S.

Let a pro handle the details

Buy Machine Learning services from CHARLES, priced and ready to go.
CHARLES S.Status: Offline
CHARLES S.

Let a pro handle the details

Buy Machine Learning services from CHARLES, priced and ready to go.

Project details

Added an AI layer on top of an existing Metabase BI setup for a logistics company. The client's team spent hours writing manual SQL queries to answer one-off business questions. Built a natural language query interface powered by an LLM that translates plain English questions into SQL, executes them, and returns a formatted answer with a chart. Also added anomaly detection on their daily shipment data — the system flags unusual patterns (delivery delays, volume spikes) and sends an alert to Slack before the team notices manually.

Stack: Python · LangChain · OpenAI API · PostgreSQL · Metabase · Slack webhooks

Results: Analysts cut ad-hoc query time by ~70%. Two major delivery disruptions were caught by the anomaly system before client escalations.

augmented analyticsnatural language querynlqtext to sqlanomaly detectionai analyticslangchainbusiness intelligencemetabasellm integrationdata monitoringslack alerts
Machine Learning Tools
Python

What's included $800

These options are included with the project scope.

$800
  • Delivery Time 5 days
  • Number of Revisions 1
  • Number of Model Variations 1
  • Number of Scenarios 1
  • Number of Graphs/Charts 0
    • Model Validation/Testing
    • Model Documentation
    • Data Source Connectivity
Optional add-ons You can add these on the next page.
Fast 2 Days Delivery
+$100
CHARLES S.Status: Offline

About CHARLES

CHARLES S.Status: Offline
Business Automation Engineer | n8n - CRM Workflows - AI Agents - Lead
Toronto, Canada - 1:59 am local time
I build the automation layer that runs your business while you sleep. Lead comes in from an ad, form, or referral — within 60 seconds it's enriched, logged in your CRM, and your sales rep has a Slack alert. Outreach sequences fire automatically and pause the moment a prospect replies. Deals advance through your pipeline on trigger events, not manual drag-and-drop. When a contract closes, invoicing and onboarding kick off without anyone touching a button.

I'm the founder of DataLife (data-life.tech). I design and ship these systems end-to-end using n8n, webhooks, CRM APIs, and AI agents — no Zapier tax, no code-free tools that break when your workflow gets real. Every automation I build comes with Slack/email alerts, a monitoring dashboard, and 30 days of post-launch support.

Where AI fits in: I also deploy RAG-powered chatbots trained on your own docs for lead qualification and support, build predictive models (churn, demand, spend) as production APIs, and wire up Power BI dashboards that update themselves. The automation handles the doing — the AI handles the thinking.

I work directly with founders and ops leads across e-commerce, healthcare, real estate, marketing agencies, and fintech. No hand-offs — you talk to the person who writes the workflows. Ontario, Canada. 40+ projects delivered.

Steps for completing your project

After purchasing the project, send requirements so CHARLES can start the project.

Delivery time starts when CHARLES receives requirements from you.

CHARLES works on your project following the steps below.

Revisions may occur after the delivery date.

What We Need & How We Work — AI Analytics Projects

Share your DB access and top business questions. We build an AI query interface with anomaly alerts and hand off with docs.

Review the work, release payment, and leave feedback to CHARLES.