Project overviewWe run a subscription box business and have a spreadsheet of 8,000 customers with signup dates, orders and cancellations. We want to understand why people leave and what we can do about it.What you will deliverA cleaned dataset with a short data-quality noteChurn rate by month, plan ... More

We need contact details (name, category, address, website) from three public business directories collected into one spreadsheet, around 5,000 records. Public data only, nothing behind a login. Please tell me how you will collect it and how you will respect the site rules.

I have three customer lists (CSV and Excel) with duplicates, wrong capitalisation, mixed phone formats and missing emails. I need them merged into one clean file, duplicates removed and a short report on what you changed. About 12,000 rows in total.

We have 18 months of subscription data (about 30,000 customers) and want a first model that flags customers likely to cancel. Deliver a notebook, a short explanation of what drives churn and a simple way to score new customers every month. Keep it practical, no heavy deep learning.

We want a Power BI report on delivery performance: on-time rate, delays by route, driver performance and cost per delivery. Data lives in a SQL database and a few Excel files. You will connect the sources, build the model and create 3-4 report pages. We will review the first version together on a ca ... More

We export sales data from our POS every month into Excel. I want a dashboard sheet that updates when I paste new data: sales by product, by store and by week, with top and bottom sellers and a simple trend chart. Please keep formulas readable, no macros if possible, and explain how to use it.