I help ANY professional or team have more impact using data. Analytics demystified.

👉 WHAT I DO: I help teams and organizations develop and apply real-world machine learning forecasting skills using Python and Python in Excel.

⚙️ WHO I HELP: Every type of organization will benefit from better forecasts, including (but not limited to):

🏛️ Financial Services
🏥 Healthcare
👩‍🎓 Education
📺 Marketing
📊 Finance
💻 IT 

💰 WHY IT WORKS: In modern organizations, many external factors impact forecasts. These factors include holidays, promotions, capital investments, weather, and global economics.

Machine learning forecasting models can incorporate these external factors to produce more powerful forecasts than can be achieved via commonly used techniques (e.g., Excel's FORECAST.ETS() function).

✅ HOW I DO IT: I work under two operating models depending on your business needs:

"Done with You" - This is a coaching model where I train your team/organization and then help them successfully apply what they've learned.

"Done For You" - This is a consulting model where I do the work on your behalf.

Regardless of the mode, I focus on the nature of your business problem first and foremost. 

Before I write any code or train your team, I partner with you to develop an understanding of your business. With this baseline knowledge, I then bring my 14+ years of analytics and data science experience to the engagement. 

I can use Python in Excel or Jupyter Notebooks - whichever works best for your situation.

📞 READY TO TALK?
Schedule a free discovery call: https://bit.ly/FreeForecastingDiscoveryCall

David Langer

Citizen of data science. Professor. Leader in data science and software engineering.

Extensive software engineering & data science experience using agile methodologies on Class 2 medical devices and biotechnology. Developed software using C++, C#, WPF & Python on robotics, embedded systems and IoT. Experienced in developing customer and stakeholder relationships, risk management, SW/HW integration, project & release management, and safety-critical systems.

- Software engineering management
- Data analysis and visualization in Excel, Python, R, Matlab, Jupyter Notebook, C++, C#, NoSQL, SQL
- Implementation of CI/CD and software development/release pipelines
- Building customized ML models in C# and Python
- Front-End and Back-end programming in C, C++ and C#
- Real-time computer vision, object detection
- Project management 
- Requirements gathering and documentation
- Risk management (FMEA)


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