After college and two years as a business analyst at a consulting firm in Silicon Valley, Michael joined a venture backed video startup in San Francisco. Here he was exposed to the world of advertising technology and was fascinated by the huge volume of data generated selling ad impressions, and how valuable good analysis of this data could be. To keep pace with the tools used by the industry, Michael taught himself Python and enrolled in General Assembly's Data Science course.
In his current role at Tightrope Interactive, Michael is involved in testing, analysis, and optimization of new features to incorporate to the company's search engine related products.
Michael received his bachelor's degree in Managerial Economics with a minor in Biological Sciences from the University of California, Davis.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
This 10-week course will teach you how to use large datasets to make critical decisions.