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I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
Example: If we are predict...
Multicollinearity is a phenomenon in which two or more predictor variables in a regression model are highly correlated.
Multicollinearity can lead to unstable estimates of the coefficients and make it difficult to determine the effect of each predictor variable on the outcome.
One way to tackle multicollinearity is to identify the highly correlated variables and consider removing one of them from the model.
Another approa...
Time series analysis components include trend, seasonality, cyclicality, and irregularity.
Trend: Long-term movement or direction of the data.
Seasonality: Regular patterns that occur at specific intervals.
Cyclicality: Repeating patterns that are not necessarily at fixed intervals.
Irregularity: Random fluctuations or noise in the data.
Examples: Trend in stock prices, seasonality in retail sales, cyclicality in economic c
Preventive measures for regression assumptions not met
Check for multicollinearity among independent variables
Transform variables if they are not normally distributed
Consider using non-parametric regression methods
Use robust regression techniques to handle outliers
Collect more data to improve model performance
Handling missing values is crucial in data analysis. Various techniques like imputation, deletion, or prediction can be used.
Use imputation techniques like mean, median, mode to fill in missing values.
Consider using predictive modeling to estimate missing values based on other variables.
Delete rows or columns with a high percentage of missing values if they cannot be accurately imputed.
Use advanced techniques like K-ne...
Tuple is immutable and fixed in size, while list is mutable and can change in size.
Tuple is created using parentheses, while list is created using square brackets.
Tuple elements can be of different data types, while list elements are usually of the same data type.
Tuple is faster than list for iteration and accessing elements.
Example: tuple = (1, 'a', True), list = [1, 2, 3]
Outliers can be detected using statistical methods like Z-score, IQR, or visualization techniques like box plots.
Calculate Z-score for each data point and identify points with Z-score greater than a certain threshold (usually 3 or -3).
Use Interquartile Range (IQR) to identify outliers by determining data points that fall below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR.
Visualize the data using box plots and identify points...
I was interviewed in Jan 2025.
Market research is the process of gathering, analyzing, and interpreting information about a market to make informed business decisions.
Market research helps businesses understand their target audience and competitors
It involves collecting data on consumer preferences, trends, and buying habits
The purpose is to identify opportunities, minimize risks, and optimize marketing strategies
Examples include surveys, focus grou
Ipsos provides market research and consulting services to help clients understand consumer behavior and trends.
Market research
Consulting services
Consumer behavior analysis
Trend analysis
Mystery shopping is a market research technique where individuals pose as regular customers to evaluate the quality of products and services.
Mystery shoppers are hired by companies to assess customer service, product quality, and overall customer experience.
They visit stores, restaurants, or other businesses anonymously and provide detailed feedback on their interactions.
The goal of mystery shopping is to identify area...
Proficient in Microsoft Office suite with experience in creating presentations, reports, and spreadsheets.
Proficient in Microsoft Word for creating documents and reports
Skilled in Microsoft Excel for data analysis and creating spreadsheets
Experienced in Microsoft PowerPoint for creating presentations
Familiar with Microsoft Outlook for email communication and scheduling
I was interviewed in Jan 2025.
I have 5 years of experience in analyzing large datasets to extract valuable insights and make data-driven decisions.
Analyzed customer behavior data to optimize marketing strategies
Built predictive models to forecast sales trends
Utilized machine learning algorithms to improve product recommendations
Presented findings to stakeholders in a clear and actionable manner
Questions related to work experience in data science field.
Asked about previous projects worked on
Inquired about specific data analysis techniques used
Discussed challenges faced and how they were overcome
I applied via Referral and was interviewed in Oct 2024. There were 2 interview rounds.
Assumptions of Linear Regression
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
No multicollinearity: The independent variables are not highly correlated with each other.
Evaluate machine learning model by analyzing metrics like accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.
Calculate accuracy to measure overall performance of the model.
Use precision to evaluate the proportion of true positive predictions among all positive predictions.
Consider recall to assess the proportion of true positive predictions among all actual positives.
Calculate F1 score as a balance ...
Ipsos interview questions for popular designations
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
Normal 10 Mcq questions
Advantages and disadvantages of GenAl
Developed a data analysis tool to track customer behavior and preferences for a retail company.
Used Python for data collection and analysis
Implemented machine learning algorithms to predict customer trends
Generated visualizations to present findings to stakeholders
Get interview-ready with Top Ipsos Interview Questions
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
Basic aptitude questions
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
I am a data analyst with a strong background in statistics and data visualization.
Experienced in using tools like SQL, Python, and Tableau for data analysis
Skilled in interpreting and presenting data insights to stakeholders
Strong understanding of statistical methods and data modeling techniques
I have a strong background in data analysis, with experience in utilizing various analytical tools and techniques to derive insights from data.
I have a degree in Statistics and have completed multiple data analysis projects during my academic career.
I am proficient in using programming languages such as Python and R for data analysis.
I have experience in working with SQL databases and extracting data for analysis.
I hav...
I have worked on various projects involving data analysis, visualization, and interpretation.
Developed predictive models using machine learning algorithms
Performed data cleaning and preprocessing to ensure accuracy
Created interactive dashboards for data visualization
Conducted A/B testing to analyze the impact of changes
Collaborated with cross-functional teams to derive insights from data
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
Ipsos is a global market research and consulting firm known for providing data and insights to help clients make informed decisions.
Ipsos is one of the largest market research firms in the world.
It offers a wide range of research services including advertising research, customer satisfaction, and public opinion polling.
Ipsos conducts surveys and studies to gather data on consumer behavior, market trends, and social iss...
I applied via Walk-in and was interviewed in Apr 2024. There were 2 interview rounds.
Basic SQL , Maths, reasoning questions
Top trending discussions
The duration of Ipsos interview process can vary, but typically it takes about less than 2 weeks to complete.
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