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I applied via Naukri.com and was interviewed before Nov 2023. There were 3 interview rounds.
Excel test given for 0.5 hour
I applied via LinkedIn and was interviewed in Dec 2022. There were 4 interview rounds.
Easy test about 30 mins test. General aptitude test.
I applied via Naukri.com and was interviewed before Apr 2022. There were 3 interview rounds.
I am a recent graduate with a degree in finance and a passion for data analysis.
Graduated with a degree in finance
Proficient in data analysis tools such as Excel and SQL
Completed internships in financial analysis and market research
Strong communication and problem-solving skills
I am a recent graduate with a degree in finance and a passion for data analysis.
Graduated with a degree in finance
Passionate about data analysis
Completed internships in financial analysis
Proficient in Excel and SQL
Strong communication and problem-solving skills
Yes, I am willing to relocate to the job location.
I am open to new opportunities and experiences.
I understand that relocation may be necessary for career growth.
I am willing to adapt to a new environment and make the necessary adjustments.
I have relocated for previous jobs and have found it to be a positive experience.
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I waa given telecom market in indua
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 applied via Referral and was interviewed in Apr 2023. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.
Quant reasoning english
Assgnment on a company overview of the compnay
I applied via Campus Placement and was interviewed before Feb 2023. There were 2 interview rounds.
Simple questions on aptitude, maths and English
Few MCQ and some mixed questions
Python coding test intermediate
based on 3 interviews
Interview experience
based on 10 reviews
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