This question evaluates a candidate's practical experience with statistics and machine learning in the Machine Learning domain, focusing on end-to-end project competencies such as problem framing, data sourcing, modeling decisions, evaluation, deployment, and trade-off analysis.
You are interviewing for a Data Scientist role. In an HR screen, you’re asked to concisely explain your experience with statistics and machine learning by walking through one representative project.
Be concise and top-down: start with impact, then drill into methods and validation, and close with lessons learned.
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