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Maruti Suzuki
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.
I have learned multiple programming languages including Python, R, SQL, and Java.
Python
R
SQL
Java
I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.
It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.
Used linear regression to predict housing prices based on various features
Implemented decision trees to classify customer behavior and recommend products
Utilized neural networks for image recognition tasks
Challenges included dealing with missing data and overfitting
Outcome was improved accu
The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.
The algorithm was selected after evaluating its performance on similar datasets.
It was chosen for its ability to handle high-dimensional data and its scalability.
The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.
The choice of algorithm also depends on the
posted on 29 Nov 2024
I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company.
Collected and cleaned customer data including usage patterns and demographics
Used classification algorithms like Random Forest and Logistic Regression to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Math, English, reasoning
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.
RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.
LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.
LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.
L...
Evaluation matrices are used to assess the performance of models in data science.
Confusion matrix: used to evaluate the performance of classification models.
Precision, recall, and F1 score: measures for binary classification models.
Mean squared error (MSE): evaluates the performance of regression models.
R-squared: assesses the goodness of fit for regression models.
Area under the ROC curve (AUC-ROC): evaluates the perfo...
I applied via Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Dec 2021. There were 3 interview rounds.
First off all, we ought to have some sortoff automobile and production knowledge because they will definitely check our technical skill secondly, listening skill and fluency plays significant factor
TQBM stands for 'Tudo Que Bem' which means 'Everything is fine' in Portuguese. BOM means 'good' in Portuguese.
TQBM is a common phrase used in Brazil to ask if everything is okay.
BOM is often used as a response to TQBM to indicate that everything is good.
Both TQBM and BOM are informal and commonly used in everyday conversations.
Example: A friend asks 'TQBM?' and you respond 'BOM, e voce?' which means 'Everything is fine
I applied via Company Website and was interviewed before Mar 2023. There were 2 interview rounds.
About Data in SQL , syntax
I applied via Approached by Company and was interviewed before Dec 2021. There were 4 interview rounds.
Aptitude and coding test after resume shortlist.
1hour coding test after aptitude test
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
To convince a customer for a product, I would highlight its unique features, demonstrate its benefits, provide testimonials, and offer a trial or discount.
Highlight the unique features of the product
Demonstrate the benefits it offers
Provide testimonials from satisfied customers
Offer a trial or discount to encourage the customer to try the product
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