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I applied via Campus Placement and was interviewed before Mar 2023. There were 3 interview rounds.
Two basic programming questions (30 min) and reasoning/aptitude questions
Use SQL query with WHERE clause to pull data from a table based on a time interval.
Use SQL query with SELECT statement to specify the columns you want to retrieve.
Add a WHERE clause with the condition for the time interval, using appropriate date/time functions.
Example: SELECT * FROM table_name WHERE timestamp_column BETWEEN 'start_time' AND 'end_time';
To maximize sales on a state level, focus on market research, targeted marketing strategies, strong customer service, and strategic partnerships.
Conduct market research to understand the local consumer behavior and preferences
Implement targeted marketing strategies based on the research findings
Provide excellent customer service to build loyalty and attract repeat business
Form strategic partnerships with local business...
I was interviewed before Jan 2021.
Round duration - 60 Minutes
Round difficulty - Medium
First Question: Tell me about yourself.
Puzzle/Problem Solving round, I was asked 3 different puzzles and the interviewer checked my approach towards the puzzle. I was able to solve 2/3 completely.
Paper & Pen were provided.
You have 9 balls, equally big, equally heavy - except for one, which is a little heavier.
How would you identify the heavier ball if you could use a pair of balance scales only twice?
How will you measure 4 litre of water from a 3 litre and 5 litre jug? There are no measurement lines on the jug. You can use any amount of water but only those 2 jugs.
Round duration - 60 Minutes
Round difficulty - Hard
This round was a continuation from the previous round. More grilling puzzles were asked and resume based questions were also asked.
Interviewer was clear with the details from the question and with its specifics, they listened to me patiently without any interruptions and told where I was wrong(if).
Project based questions were asked around DBMS, ML, SQL.
I was asked to generalize a puzzle for 'n' values from the previous round.
The puzzle was
You have 9 balls, equally big, equally heavy - except for one, which is a little heavier.
How would ...
Tip 1 : Practice a lot of puzzles and aptitude based questions, the interviewer will check your approach. Be calm and think carefully before answering.
Tip 2 : Prepare the projects on your resume well and practice mock interviews amongst your batchmates.
Tip 3 : ML Projects are good to have as they show your experience on working with data.
Tip 1 : Make it concise and relevant to the Job Description shared.
Tip 2 : List and explain projects in an efficient manner(Aim, Approach, Tech Stack, Individual Contributions)
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posted on 7 Feb 2024
I applied via campus placement at Vellore Institute of Technology (VIT) and was interviewed before Jul 2022. There were 4 interview rounds.
There was an aptitude test with 30 questions to complete within 45 min.
3 Coding questions to complete within 1hr.
posted on 11 Dec 2024
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There was 1 interview round.
Developed a generative AI model to create realistic images of fictional characters.
Used GANs (Generative Adversarial Networks) to generate new images based on existing data.
Trained the model on a dataset of character images from various sources.
Implemented techniques like style transfer to enhance the diversity and creativity of generated images.
Evaluated the model's performance based on image quality metrics and user
I applied via LinkedIn and was interviewed in Jul 2024. There were 3 interview rounds.
Assignment on credit risk
posted on 29 Jul 2024
Question on Probability and basic aptitude questions
posted on 14 Jun 2024
I applied via Referral and was interviewed in May 2024. There was 1 interview round.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
Collect data on the variables of interest
Plot the data to visualize the relationship between the variables
Choose a suitable linear regression model (simple or multiple)
Fit the model to the data using a regression algorithm (e.g. least squares)
Evaluate the model's performance using ...
Linear Regression minimizes noise by fitting a line that best represents the relationship between variables.
Linear Regression minimizes the sum of squared errors between the actual data points and the predicted values on the line.
It assumes that the noise in the data is normally distributed with a mean of zero.
Outliers in the data can significantly impact the regression line and its accuracy.
Regularization techniques l...
Use linear algebra to solve for coefficients in two equations.
Set up the two equations with unknown coefficients
Solve the equations simultaneously using methods like substitution or elimination
Example: 2x + 3y = 10 and 4x - y = 5, solve for x and y
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
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