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

  1. Adjunct Professor of Business Analytics

    University of San Francisco

    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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