Long term career investment through curiosity
Author shares how following curiosity in writing and tech led to writing a machine learning book, promotions, and career growth.
Susan Shu Chang’s blog focuses on machine learning careers, productivity, and leadership. Drawing from her experience as a principal data scientist and O’Reilly author, she shares practical advice on succeeding in ML interviews, career design, and managing high-impact work.
8 articles from this blog
Author shares how following curiosity in writing and tech led to writing a machine learning book, promotions, and career growth.
A software engineer reflects on the changing nature of satisfaction and progress as career goals become more complex and long-term.
The article discusses building a 'personal board of directors' for career mentorship in tech, advocating for diverse advice sources over a single mentor.
A guide on tailoring your resume for different machine learning roles like Data Scientist and ML Engineer, using a 3-step process.
A software engineer shares her method for organizing Slack channels into priority tiers to efficiently manage messages and reduce notification overload.
A podcast interview discussing reinforcement learning applications, data science career paths, and productivity insights for tech professionals.
A software developer shares five key lessons learned from over a year of public blogging, focusing on overcoming perfectionism and getting started.
A data scientist shares lessons from writing online, focusing on learning, sharing ideas, and overcoming self-doubt as a non-writer in tech.