Q: Given a large dataset containing time-series data, design an efficient Python function to identify anomalies in real time. Discuss your approach to handle large data processing, including memory optimization, and outline which algorithms or statistical methods you'd use for anomaly detection
Preguntas de estadistica, series temportales etc
Why do you want to be part of the Fintech team?
Why do you deserve this job?
Projects I did and am proud of
Tell me about yourself? What do you know about Criteo? What experience do you have in the field?
Si j'ai de l'expérience en PowerBI
complete a task based on the dataset related to Gousto they provided to you.
Problem solving given data set
Why have you applied for this role?
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