Erik Burd
Citizen of data science. Professor. Leader in data science and software engineering.
- Role
- Adjunct Professor of Business Analytics at University of San Francisco
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Erik Burd
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)
Experience
Adjunct Professor of Business Analytics
Jan 2016 — Present
Instructor for the “Fundamentals of Business Analytics” class for both undergraduate and graduate business students. Focus on spreadsheet modeling and analytics in Excel, utilizing real-world examples. Topics include regression, forecasting, pivot tables, visualization, simulation and linear programming.
Education
General Assembly
Data Science
2016 — 2016
Santa Clara University
MS
2001 — 2005
University of San Francisco School of Management
Master of Business Administration (MBA)
2012 — 2014
San Francisco State University
Certificate
2009 — 2010
Sonoma State University
BS
1988 — 1994
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