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I applied via Approached by Company and was interviewed in Jul 2024. There was 1 interview round.
Python and sql based questions
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Retail case study, with soft skills is required for this round
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Had to share my screen and they gave live problems to test my knowledge in python
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SQL coding question. Medium level
Explain my project and then case study regarding launching new apps
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Python for Data Science basics
Optimization case study
I applied via LinkedIn and was interviewed before May 2023. There were 4 interview rounds.
Backpropagation is a method used to train neural networks by adjusting the weights based on the error in the output.
Backpropagation involves calculating the gradient of the loss function with respect to the weights of the network.
The gradient is then used to update the weights in the opposite direction to minimize the error.
This process is repeated iteratively until the network converges to a solution.
Backpropagation i...
1 question on array (sorting related), 1 question on string (hard problem)
3 Leet code mediums in 30 mins.
LC mediums refer to LeetCode mediums, which are medium difficulty coding problems on the LeetCode platform.
LC mediums are coding problems with medium difficulty level on LeetCode platform.
Solving 3 LC mediums in 30 minutes requires good problem-solving skills and efficient coding techniques.
Examples of LC mediums include 'Longest Substring Without Repeating Characters' and 'Container With Most Water'.
To reduce model inference latency, optimize model architecture, use efficient algorithms, batch processing, and deploy on high-performance hardware.
Optimize model architecture by reducing complexity and removing unnecessary layers
Use efficient algorithms like XGBoost or LightGBM for faster predictions
Implement batch processing to make predictions in bulk rather than one at a time
Deploy the model on high-performance har
SQL joins are used to combine rows from two or more tables based on a related column between them.
INNER JOIN: Returns rows when there is at least one match in both tables.
LEFT JOIN: Returns all rows from the left table and the matched rows from the right table.
RIGHT JOIN: Returns all rows from the right table and the matched rows from the left table.
FULL JOIN: Returns rows when there is a match in one of the tables.
SEL
I was interviewed in Apr 2021.
Round duration - 60 Minutes
Round difficulty - Medium
I was asked two questions in this round . More emphasis was given on the theoretical aspect of the subject in this round .
Hyperparameters of XGBoost can be tuned using techniques like grid search, random search, and Bayesian optimization.
Use grid search to exhaustively search through a specified parameter grid
Utilize random search to randomly sample hyperparameters from a specified distribution
Apply Bayesian optimization to sequentially choose hyperparameters based on the outcomes of previous iterations
Hyperparameters in XGBoost algorithm control the behavior of the model during training.
Hyperparameters include parameters like learning rate, max depth, number of trees, etc.
They are set before the training process and can greatly impact the model's performance.
Example: 'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 100
Round duration - 50 Minutes
Round difficulty - Medium
This round basically tested some fundamental concepts related to Machine Learning and proper ways to implement a model.
Ridge and LASSO regression are both regularization techniques used in linear regression to prevent overfitting by adding penalty terms to the cost function.
Ridge regression adds a penalty term equivalent to the square of the magnitude of coefficients (L2 regularization).
LASSO regression adds a penalty term equivalent to the absolute value of the magnitude of coefficients (L1 regularization).
Ridge regression tends to sh...
Round duration - 50 Minutes
Round difficulty - Medium
This round was based on some basic concepts revolving around Deep Learning .
Outlier values are data points that significantly differ from the rest of the data, potentially affecting the analysis.
Outliers can be identified using statistical methods like Z-score or IQR.
Treatment options include removing outliers, transforming the data, or using robust statistical methods.
Example: In a dataset of salaries, a value much higher or lower than the rest may be considered an outlier.
Round duration - 30 Minutes
Round difficulty - Easy
This is a cultural fitment testing round .HR was very frank and asked standard questions. Then we discussed about my role.
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
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