1. Screening - I was asked if my projects align with the job description, why did i do those projects. What were the main problems that occurred? Am i willing to work in remote setting and what will be my availability timings throughout the day. 2. Technical - So, one of my projects perfectly aligned with the job description and what they wanted to do. So, the whole interview was on that project only. Project was on Person Detection, distance and velocity measurement. I was asked about libraries and models i used in the project. Whether i used a pretrained model or trained it myself. What dataset was the model trained upon? What was the accuracy score? Why did you choose the model? Do you have experience in deployment?
Data Scientist Intern Interview Questions
936 data scientist intern interview questions shared by candidates
- Cos'è una Confusion Matrix - Come possiamo implementare un algoritmo in grado di rilevare anomalie lungo i binari utilizzando come dato delle immagini di una rete ferroviaria.
first round is all algorithm
Any personal project you have worked on that suits the role?
How would design a system to monitor and track critical events in data centers?
Esperienze pregresse in ambito programmazione, interessi in ambito Data Science. Precedenti esperienza laborative
Podrias elaborar mas sobre tu experiencia en el area de optimizacion como lo mencionaste en tu resumen?
- Pourquoi Total ? - Qu'avez vous fait lors de vos précédents stage ?
How to merge two dataframes, and how to convert the 'date' columns in specific format and then to calculate the date range (using last_date - start_date).
DS case; basic data science questions; BQ
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