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I applied via Naukri.com and was interviewed before May 2023. There were 2 interview rounds.
Take interview based on requirement provided by NCS Singapore team based on langue knowledge you have. whether it is JAVA or Python or dot net
Java based coding rounding where i created code and run it
I applied via Campus Placement and was interviewed before Sep 2021. There were 3 interview rounds.
It consists of mathematical and some programming questions
I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
I applied via Recruitment Consultant and was interviewed in Jan 2020. There was 1 interview round.
I applied via Referral and was interviewed in Dec 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before May 2021. There were 5 interview rounds.
I applied via Company Website and was interviewed before May 2021. There were 2 interview rounds.
They had ask the simple question during my interview process, here is the list if all questions:
1) what is df.copy()
2)why we choose inplace = True
3) Tfidf
4) confusion Matrix
5) can we use continuous variables for logistic regression
6)list and tuple diff
7)N grams, bag of words
8)access a column
9)lambda fn
10)method and object oops concepts
11) how to tackle Nan values
12) what is index in SQL
13)what is gini coefficient
14)when will you use linear regression and when you will use Decision Tres.
15) Random forest
16)Oops concepts
17)how to calculate the coefficient
18)PCA
19)SL/USL
20) classification/Regression
21)SVM
22)DT, RF, Hyper parameters in RF
23)how neural network works
24)NlP
I applied via Referral and was interviewed before Apr 2020. There were 5 interview rounds.
Autocorrelation is the correlation of a signal with a delayed copy of itself.
Autocorrelation is used to identify patterns in time series data.
It is a measure of how similar a signal is to a delayed version of itself.
Autocorrelation can be positive, negative, or zero.
It is commonly used in signal processing, finance, and econometrics.
Autocorrelation can be visualized using a correlogram.
Heteroscedasticity is a statistical term that refers to the unequal variance of a variable across different levels of another variable.
It is a violation of the assumption of homoscedasticity in regression analysis.
It can lead to biased and inefficient estimates of regression coefficients.
It can be detected through residual plots or statistical tests such as the Breusch-Pagan test.
Examples include income and expenditure...
Data analysis is affected by various factors that can influence the accuracy and reliability of the results.
Data quality: The accuracy, completeness, and consistency of the data can impact the analysis.
Data sources: The reliability and relevance of the data sources used for analysis can affect the outcomes.
Data preprocessing: The way data is cleaned, transformed, and prepared for analysis can impact the results.
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Software Engineer
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Business System Analyst
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Senior Software Engineer
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Technical Lead
54
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