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I applied via Indeed
English Grammer, GK.
Basic, intermediate and advance coding questions each level 10 question and 15 mins for each.
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I applied via Recruitment Consultant and was interviewed in Jan 2020. There was 1 interview round.
After opening and closing doors with multiples of their numbers, which doors are open?
Doors with odd number factors will be open after 100th time
Doors with even number factors will be closed after 100th time
Example: Door 16 will be closed after 100th time as it has factors 2, 4, 8, 16
333 digits can number 166 pages of a book.
Each page number takes up 2 digits.
The first page is numbered 01.
The last page that can be numbered is 166.
The remaining 2 digits are used for the cover page or other information.
To approach a customer for selling a costly new phone, I would focus on highlighting the unique features, benefits, and value it offers.
Understand the customer's needs and preferences
Highlight the unique features and benefits of the phone
Emphasize the value and long-term benefits of investing in a high-quality phone
Offer flexible payment options or financing plans
Provide comparisons with other phones to showcase the su...
I will communicate the challenges and suggest alternative solutions.
I will first analyze the task and identify the challenges.
I will communicate the challenges to my manager and suggest alternative solutions.
I will work with my manager to find a feasible solution.
I will not waste time on a task that cannot be completed.
For example, if the task requires a budget that is not available, I will suggest alternative ways to ...
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.
Data in...
I applied via Walk-in and was interviewed before Feb 2020. There were 4 interview rounds.
I applied via Campus Placement and was interviewed before Jul 2021. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in May 2021. There was 1 interview round.
I was interviewed in Jul 2017.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
I applied via Referral and was interviewed before Jan 2021. There were 4 interview rounds.
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