Background and Entry Level Mindset Questions
Addresses a candidate's educational and early professional background together with an entry level learning orientation. Topics include relevant coursework, internships, projects, self-study, and clear articulation of current skill level and gaps. For entry level candidates, interviewers expect humility, eagerness for mentorship, and examples of quickly acquired skills. This canonical topic evaluates baseline experience plus readiness and attitude to grow from an early career stage.
HardTechnical
0 practiced
Design a 4-week onboarding curriculum for an intern who lacks strong statistics fundamentals but is eager. Include learning objectives per week, exercises or small projects, and evaluation methods you would use to confirm they achieved competency in basic statistical reasoning necessary for the team.
MediumTechnical
0 practiced
Coding exercise: In Python, write a function that takes a pandas DataFrame and returns a summary dictionary containing: number of rows, percent missing per column, and number of unique values for columns inferred as categorical. Make the implementation efficient and avoid Python-level loops where possible.
HardSystem Design
0 practiced
As an entry-level hire assigned to productionize a model you did not build and you have limited MLOps experience, outline a step-by-step plan to understand the model, validate it on current data, and safely deploy improvements. Include monitoring, rollback strategies, and how you would communicate risk to stakeholders.
EasyTechnical
0 practiced
Given a dataset with missing values and inconsistent timestamps, describe the immediate first three steps you would take to assess its quality and begin cleaning the data before any modeling work. Be explicit about checks, tools, and quick visualizations you might use.
EasyTechnical
0 practiced
How do you evaluate whether an ML model's performance is 'good enough' for a business use case? Provide a short example that ties a specific evaluation metric to a business KPI and a threshold that would indicate readiness.
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