Sign In

Christopher Schmidt

Data Analytics Leader | Microsoft Platinum Club Award Winner | Data Strategy | Data Architecture

Christopher Schmidt is a transformational analytics professional with over 15 years of experience specializing in data strategy. He is known for his expertise in data modeling, cloud data engineering, Azure services, and front end visualization tools. Christopher is skilled at leveraging AI and ML models to achieve strategic business objectives. He has received recognition as employee of the year at multiple companies and has held various key roles at organizations like Microsoft and Precision eControl.

Highlights

Mar 29 · linkedin

Excited to share the new gpt model I've been working on for assisting developers and analysts with Power BI, called Power BI wizard. Check it out and let me know what you think!

Oct 15 · linkedin

Fridays post by LinkedIn engineering is a great lesson on data in general. It’s focused on managing risk and compliance, but the lessons here apply to all data projects:

  1. Optimize your data layer to build effective solutions. This means don’t take shortcuts on the data modeling, settle on standardized rules for data governance, and know your audience
  2. Remain flexible with your design approach. Don’t get locked into a single approach that offers you no flexibility to adapt to changing needs
  3. Share your feature design approach with other teams. Build the steering committee to help align feature requests into common asks.
  4. Prioritize research and out of the box solutions before building custom.
  5. User acceptance testing is crucial
  6. Crawl->Walk->Run. Skip the big bang approach for phased iterative deployments.
C
Add to my network

Location

Columbus, Ohio Metropolitan Area