Monty Hall scenario with 100 options rather than 3 doors, once you see one you can’t go back. First level was set a threshold where you didn't need the max. Second level was now you want the max so use chance and odds probability rather than statistics reasoning. Be careful. Interviewer did not have subject matter expertise. Feedback was that keeping her taught/mentored during the process and comfortable was more important that solving the problem well.
Data science delivery and consulting
Tell me a time that you sacrificed something small for something bigger.
Basic from data science and analysis, One must be prepared for guess estimation questions and logical reasoning
Falar sobre si (e.g., histórico acadêmico/profissional, objetivos, o que gosta de fazer nas horas livres)
Given the dataset can you predict the probbaility that a vessel will cross a Geo Polygon?
Genreral questions related to experience and visa status.
In a multi-industry SaaS environment with diverse data sources, how would you ensure data quality and integration while addressing inconsistencies and bias?
What conditions should be satisfied in order to use linear regression
Various questions regarding generative AI and LLMs. Focused on feasibility of building AI systems.
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