Expedia Group Data Scientist Interview Questions and Answers

Q1. ML System design
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Q2. CNN networks why are they better then NN
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Simple mediam DSA style questions around ML

Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts

Q1. Questions related to projects done at my previous company
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Q1. Questions related to my work at previous company
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Q2. ML system design use case type of discussion
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Q1. Tell me about your projects?
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Q2. How do you approach the project if you are using logistic regression model?
Ans. 
Approach involves data preprocessing, model training, evaluation, and interpretation.
• Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

• Split the data into training and testing sets.

• Train the logistic regression model on the training data.

• Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

• Interpret the model coefficients to under...read more
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Q1. What are you future goals?
Ans. 
I aim to enhance my data science skills, contribute to impactful projects, and eventually lead a team in innovative data solutions.
• Pursue advanced certifications in machine learning and AI to deepen my expertise.

• Contribute to open-source projects to gain practical experience and collaborate with other data scientists.

• Aim for a leadership role where I can mentor junior data scientists and drive strategic data initiative...read more
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Q2. What would you do if your interested field doesnt have any work in the company?
Ans. 
I would seek opportunities to apply my skills in related fields within the company.
• Explore other departments or teams within the company that may have projects related to my field of interest

• Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

• Seek out professional development opportunities to expand my skills and knowledge in related areas
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Easy topics arrays, sequence sum.

Q1. Asked firstly some question over my resume then 2 case study type problems where i have to improve the recommdation system for zomato, and finally one coding question based on two pointer
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Q1. Came for campus. Asked questions around basics of ML namely CV, L1, L2 loss & their assumptions, Boosting and Bagging
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Q1. Gave a case study on solving a NLP problem
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Q1. Basic Recommendation System Questions
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Q2. A B Testing Questions
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