EDR Continuous Information Data Operator Interview Questions and Answers

Q1. What experience do you have in this role?
Add your answer
Q2. What tools or technologies are you comfortable using?
Ans. 
I am proficient in various data analysis tools, including Excel, SQL, Python, and visualization software like Tableau.
• Excel: Advanced functions, pivot tables, and data visualization.

• SQL: Writing complex queries for data extraction and manipulation.

• Python: Utilizing libraries like Pandas and NumPy for data analysis.

• Tableau: Creating interactive dashboards for data visualization.

• R: Statistical analysis and data visualiza
Answered by AI
Add your answer

Q1. What is the pivot table in Excel
Ans. 
A pivot table in Excel is a data summarization tool that allows you to reorganize and summarize selected columns and rows of data.
• Allows users to summarize and analyze large datasets

• Can easily reorganize data by dragging and dropping fields

• Provides options to calculate sums, averages, counts, etc. for data

• Helps in creating interactive reports and charts

• Useful for identifying trends and patterns in data
Answered by AI
Add your answer
Q2. A pivot table is used to summarize...........etc.
Add your answer

Q1. Mostly about projects ml, nlp, python code would be asked
Add your answer

Q1. It would be focused on technical stuff in detail ml, nlp, deployments etc
Add your answer

Q1. Organisation fit
Add your answer

Q1. What is overfitting in machine learning?
Ans. 
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor performance on unseen data as the model fails to generalize well.

• Techniques to prevent overfitting include cross-validation, regularization, and early stopping.

• ...read more
Answered by AI
Add your answer
Q2. Overfitting accurs when a model learns the details.......etc
Ans. 
Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts the model's performance on new data.
• Overfitting happens when a model is too complex and captures noise in the training data.

• It leads to poor generalization and high accuracy on training data but low accuracy on new data.

• Techniques to prevent overfitting include cross-validation, regularization, and...read more
Answered by AI
Add your answer

Q1. What is the full form of ETL?
Ans. 
ETL stands for Extract, Transform, Load. It is a process used in data warehousing to extract data from various sources, transform it into a consistent format, and load it into a target database.
• ETL stands for Extract, Transform, Load

• Extract: Involves extracting data from various sources such as databases, applications, and files

• Transform: Involves cleaning, filtering, and transforming the extracted data into a consiste...read more
Answered by AI
Add your answer
Q2. ETL Full form is Exact, Transform, Load.
Add your answer

Duration is around 1 hour

Q1. 1. Basic programming concepts 2. OOP concepts and basic problem solving skills
Add your answer

Q1. Programming question
Add your answer

Q1. 1. Basic questions
Add your answer