Filter interviews by
Implemented a predictive maintenance use case using machine learning algorithms
Collected historical maintenance data from machines
Preprocessed the data to handle missing values and outliers
Trained machine learning models to predict when maintenance is needed
Implemented a dashboard to visualize maintenance predictions
Achieved a significant reduction in unplanned downtime
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
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 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 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...
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 Referral and was interviewed before Feb 2021. There was 1 interview round.
Line balancing is the process of optimizing workstations in a production line to minimize idle time and maximize efficiency.
It involves analyzing the production process and identifying bottlenecks
Tasks are then rearranged to balance the workload across workstations
The goal is to achieve a smooth and continuous flow of work
Example: In a car assembly line, line balancing would involve ensuring that each workstation has a...
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 Referral and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via Referral and was interviewed in Jan 2024. There were 2 interview rounds.
Logical aptitude test
SAP is a software used by companies for managing business operations and customer relations. Tcode is a transaction code used to access specific functions in SAP.
SAP stands for Systems, Applications, and Products in Data Processing.
It is a software used by companies for various business operations like finance, HR, sales, etc.
Tcode is a transaction code used to access specific functions in SAP, like creating a purchase
based on 1 interview
Interview experience
based on 1 review
Rating in categories
Senior Engineer
343
salaries
| ₹0 L/yr - ₹0 L/yr |
Assistant Engineer
327
salaries
| ₹0 L/yr - ₹0 L/yr |
Engineer
311
salaries
| ₹0 L/yr - ₹0 L/yr |
Assistant Manager
277
salaries
| ₹0 L/yr - ₹0 L/yr |
Graduate Apprentice Trainee
275
salaries
| ₹0 L/yr - ₹0 L/yr |
Tata Motors
Mahindra & Mahindra
Maruti Suzuki
Ashok Leyland