i
Siemens
Filter interviews by
Clear (1)
I was interviewed before Feb 2024.
Predictive modeling project
I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.
I applied via Campus Placement
Top trending discussions
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
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
Basics and Fundamentals
Seeking new challenges and opportunities for growth in a different environment.
Looking for a more challenging role to further develop skills
Interested in exploring new technologies and methodologies
Seeking a better work-life balance or company culture
Opportunity for career advancement or higher salary
Desire for a change in industry or focus area
I was interviewed before Mar 2024.
Coding and techinal questions were asked
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 31 Jul 2024
I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.
Python programming for 45 for minutes
Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.
C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.
Kernel: Specifies the type of hyperplane used to separate the data.
Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.
Degree: Degree of the polynomial kernel function.
Coef0: Independent term in kernel...
Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.
Grid search: Exhaustively search through a specified subset of hyperparameters.
Random search: Randomly sample hyperparameter combinations.
Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.
based on 2 interviews
Interview experience
based on 2 reviews
Rating in categories
Senior Software Engineer
1.6k
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Developer
1.6k
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Engineer
1.5k
salaries
| ₹0 L/yr - ₹0 L/yr |
Manager
604
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Executive
482
salaries
| ₹0 L/yr - ₹0 L/yr |
Schneider Electric
Siemens Energy
ABB
BHEL