Mol Information Processing Services India Data Analyst Interview Questions and Answers

Q1. What are different agile methodologies
Ans. 
Agile methodologies are iterative and flexible approaches to project management.
• Scrum: Focuses on delivering small increments of work in short iterations called sprints.

• Kanban: Visualizes work on a board and limits work in progress to improve flow.

• Extreme Programming (XP): Emphasizes continuous feedback, frequent releases, and close collaboration.

• Lean: Aims to eliminate waste and maximize customer value through continu...read more
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Q2. Difference between BRD and FRD
Ans. 
BRD and FRD are both documents used in the software development process, but they serve different purposes.
• BRD stands for Business Requirements Document and focuses on the business needs and objectives of a project.

• FRD stands for Functional Requirements Document and outlines the specific functionalities and features of a software system.

• BRD is more high-level and describes the 'what' and 'why' of a project, while FRD i...read more
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Q1. About ourselves
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Q2. Professional experience
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Q3. Salary expectation
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Q4. Notice period, if experienced
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Q1. Normal question about past experience
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Q2. When you can join and all
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SQL test on Select query, insert, create

Q1. What is your approach to formatting data?
Ans. 
I ensure data is clean, consistent, and visually appealing for analysis and reporting.
• Standardize formats: Use consistent date formats (e.g., YYYY-MM-DD) across datasets.

• Remove duplicates: Identify and eliminate duplicate entries to maintain data integrity.

• Use clear labels: Ensure column headers are descriptive (e.g., 'Patient Age' instead of 'Age').

• Apply conditional formatting: Highlight key metrics, such as overdue t...read more
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Q2. What is involved in creating dashboards?
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Creating dashboards involves data collection, visualization, and user interaction to present insights effectively.
• Identify key metrics: Determine what data is most relevant for decision-making, such as sales performance or customer satisfaction.

• Data integration: Gather data from various sources like databases, spreadsheets, or APIs to ensure a comprehensive view.

• Choose visualization tools: Use software like Tableau, Po...read more
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Q1. They don’t take interview and they just ask money for for entering and never provide you job
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Q2. They just fooling people
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Q3. They are fake and unprofessional
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Q4. They provide my salary and then I ended my month and they did not gave me my salary
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Q5. Dynpro is fake company who provide the fake job and salary slips
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Q1. Any question related Medical Billimg
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Q1. Basic questions about the role and responsibilities of my previous organisation
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Q1. One on one round is about my skills
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Forecasting problem - Predict daily sku level sales

Q1. What is difference between bias and variance
Ans. 
Bias is error due to overly simplistic assumptions, variance is error due to overly complex models.
• Bias is the error introduced by approximating a real-world problem, leading to underfitting.

• Variance is the error introduced by modeling the noise in the training data, leading to overfitting.

• High bias can cause a model to miss relevant relationships between features and target variable.

• High variance can cause a model to ...read more
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Q2. Parametric vs non parametruc model
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Parametric models make strong assumptions about the form of the underlying data distribution, while non-parametric models do not.
• Parametric models have a fixed number of parameters, while non-parametric models have a flexible number of parameters.

• Parametric models are simpler and easier to interpret, while non-parametric models are more flexible and can capture complex patterns in data.

• Examples of parametric models inc...read more
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