Mondelez International Data Scientist Interview Questions and Answers

Data Science MCQ questions

Building a baseline ML model with EDA etc.

Q1. How do you analyse outliers?
Ans. 
Outliers can be analyzed using statistical methods like Z-score, IQR, or visualization techniques like box plots.
• Calculate Z-score and identify data points with Z-score greater than a certain threshold as outliers.

• Use Interquartile Range (IQR) to detect outliers by identifying data points outside 1.5 * IQR range.

• Visualize data using box plots to identify any data points that fall outside the whiskers.

• Consider domain kn...read more
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Q2. Tell me about a time when what you found did not match expectation with what you thought analysing the dataset.
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Q1. Why Unilever now?
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Q2. Where do you see yourself in 5 years?
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Q1. What key factors to use for effective budget
Ans. 
Key factors for effective budgeting
• Set clear financial goals and objectives

• Identify and prioritize expenses

• Track and analyze income and expenses

• Create a realistic budget based on available resources

• Regularly review and adjust the budget as needed

• Consider unexpected expenses and emergencies

• Seek professional advice if needed
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Q1. What you do in your empty time
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Q2. What is your hobby
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Q1. What is your strength
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Q1. Tell us data science project where you developed a script for forecastings, KNN, Data science models with practical examples.
Ans. 
Developed a script for forecasting using KNN and data science models.
• Developed a script using Python to forecast sales for a retail company using KNN algorithm.

• Built a data science model to predict customer churn for a telecom company using logistic regression.

• Used time series analysis to forecast stock prices for a financial services company.

• Developed a script to predict the likelihood of a customer defaulting on a lo...read more
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Q2. 1. Why you are asking this role is for Data analyst or data scientist? 2. Don't go for the provided JD and do you think you are well aware of Data science concepts and models, algorithms etc.
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Q1. Questions GST concepts
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Q2. Checking Excel Skills
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Q1. Asking personal Detaiuls
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Technical mcq - string array ..html css

Code on Arrays and strings

Q1. Methods , Multithreading , Collections
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Q2. Projects , Behavioural questions
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