First part - Describe your professional background, education, experience, and projects (contribution, challenges and how they were solved)
Second part - technical questions
Home assignment - EDA, preprocessing (Encoding, Imputation), modeling, Fine tuning and Evaluation
Preguntas de entrevista [1]
Pregunta 1
How to split your train and test to prevent target leak
Me postulé en línea. El proceso tomó más de 1 semana. Acudí a una entrevista en Lemonade Insurance (Tel Aviv) en oct 2024
Entrevista
I failed in the first technical interview. The interviewer is very nice, who will ask you first your experiences and ask you to pick a specific project you want to elaborate on. Then they will start asking you machine learning questions that relates to their product (i.e. insurance related) with gradual increase in difficulty and detailed. I got asked first what types of data to collect, what are the algorithms for this type of question, if we change up the product requirement a bit how we should adjust the model, how to evaluate etc. It's a very interesting process and the whole vibe is great.
Preguntas de entrevista [1]
Pregunta 1
How should you build and evaluate a regression model if your target is only 'ranking' and not 'real values'?