Christopher Schoen-Leitao

I help companies turn messy business data into clean, structured insights they can actually use.

My focus is on data cleaning, data analysis, KPI reporting, and business-oriented analytics using Python, SQL, Excel, pandas, and clear reporting workflows. I work especially well with operational, sales, customer, supply chain, and e-commerce data.

Before starting Casl’s, I worked in e-commerce and operations at Zalando and ABOUT YOU, where I supported reporting, process tracking, shipment and return operations, supply chain processes, and data-based decision-making. This background helps me understand both the technical side of data and the business questions behind it.

Typical projects I can support:

- Cleaning and restructuring Excel, CSV, or operational datasets

- Creating KPI reports and performance overviews

- Analyzing sales, customer, logistics, or process data

- Identifying patterns, risks, bottlenecks, and improvement opportunities

- Preparing datasets for forecasting, churn analysis, or simple machine learning use cases

- Turning technical findings into clear, business-friendly summaries

My goal is to help small and medium-sized businesses, startups, and e-commerce-oriented companies make better decisions from the data they already have, without needing to build a full internal data team from day one.