Coca-Cola Europacific Partners Data Analyst Interview Questions and Answers

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Q1. Self introduction and technical round
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Q2. Question about in around
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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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Reasoning and mean,mode,median

Q1. Project Related
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Q2. Challenges Faced
Ans. 
Handling large volumes of data, ensuring data quality, and interpreting complex data.
• Dealing with unstructured data from various sources

• Ensuring data quality and accuracy through data cleaning and preprocessing

• Interpreting complex data and deriving meaningful insights

• Implementing machine learning algorithms to analyze data

• Communicating findings to non-technical stakeholders
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Q3. Basic Stats Questions
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Q4. Ml Concepts and Basics of Deep Learning
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Q1. Tell me about yourself
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Q2. Tell me more about yourself
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Q1. Tell me about yourself
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Q2. Asked questions from the cv
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It has behavioural and ability to focus rounds where behavioural have several questions repeated in different forms and answers in different categories. Choose extreme ones, it shows your confidence and clarify

Q1. More about the projects
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Q2. What were the innovative ideas you thought
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Q3. How would you calculate impact of a project
Ans. 
Calculate impact of a project by analyzing key metrics and outcomes.
• Identify key metrics to measure impact such as revenue, cost savings, customer satisfaction, etc.

• Quantify the baseline performance before the project and compare it to the performance after the project.

• Use statistical analysis to determine the significance of the project's impact.

• Consider both short-term and long-term effects of the project.

• Seek feedba...read more
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Q1. Asking about previous jobs asking about sap sto and many thing
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