Transform Raw Northwind Data into OLAP-Ready Reports

Transform Raw Northwind Data into OLAP-Ready ReportsTransform Raw Northwind Data into OLAP-Ready Reports

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Areeba Ali

• May 25

Created a complete BI workflow that transforms raw Northwind business data into a structured data warehouse, analytical cube, and OLAP-ready reporting system.

shiksha Kumari

• May 23

Customer churn is a major challenge for telecom companies. Retaining existing customers is more cost-effective than acquiring new ones. In this project, I built a Machine Learning model to predict whether a telecom customer will churn or not based on their service usage, contract details, and billing information. The goal is to help companies identify customers who are likely to leave and take preventive actions.

This project focuses on Exploratory Data Analysis (EDA) of the Sample Superstore dataset to identify profitability patterns, loss-making products, and regional performance. The goal is to support data-driven business decisions using visualization and statistical insights.

Data Analysis Data Science GitHub Jupyter Python

Huzefa Sendhi

• May 23

Title: AI Lead Enrichment and Outreach Workflow

Description: Built an n8n workflow that reads a lead list from Google Sheets, visits each company website using an HTTP request node, and uses Groq LLaMA to generate a personalised cold email for each lead. The finished emails are written back into the spreadsheet automatically. Stack: n8n, Groq, Google Sheets.

AI Automation Prompt Engineering Business Workflow Automation OpenAI Google Sheets N8N

Huzefa Sendhi

• May 23

Title: Automated Customer Onboarding Workflow

Description: Built an n8n workflow triggered by a webhook that sends AI-personalised welcome emails, creates CRM records in Airtable, notifies the team on Slack, and fires a timed follow-up automatically. Every new signup flows through the full sequence without any manual work. Stack: n8n, Groq, Airtable, Slack, Gmail.