They haven't formulated clear questions yet, but here's what I've gathered: 1. Explaining dimensional modeling. 2. Understanding facts and dimensions and their functionality. 3. Exploring the necessity of surrogate keys. 4. Sharing experiences with unstructured or semi-structured data.
Going through CV and motivation
How do you do optimization modeling
Tell me about yourself, and why do you want to work with Deloitte
1. Explain PD, LGD, EAD 2. Python Questions: use 'describe' to show the dataframe's info 3. what is p-value 4. confidence interval 5. How to find outlier 6. VaR
How I approach a multi stage project
Can you write down the formula for the Markov property?
Formule de Black Scholes et EDP Black-Scholes. Re démontrer ces formules.
Q: How do you understand the duty of model risk auditor
Presentation about a specific power industry related topic
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