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Vimta Labs
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I applied via LinkedIn and was interviewed in Mar 2023. There were 2 interview rounds.
I applied via Naukri.com and was interviewed before Apr 2021. There were 4 interview rounds.
Top trending discussions
Bagging and boosting are ensemble learning techniques used to improve the performance of machine learning models by combining multiple weak learners.
Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.
Boosting involves training multiple models sequentially, where each subsequent model c...
Parameters of a Decision Tree include max depth, min samples split, criterion, and splitter.
Max depth: maximum depth of the tree
Min samples split: minimum number of samples required to split an internal node
Criterion: function to measure the quality of a split (e.g. 'gini' or 'entropy')
Splitter: strategy used to choose the split at each node (e.g. 'best' or 'random')
Developed a predictive model to forecast customer churn in a telecom company
Collected and cleaned customer data including usage patterns and demographics
Used machine learning algorithms such as logistic regression and random forest to build the model
Evaluated model performance using metrics like accuracy, precision, and recall
Provided actionable insights to the company to reduce customer churn rate
posted on 18 Nov 2024
Sql and python questions were there with basic logic check
Python code with function
Define a function using 'def' keyword
Include parameters inside parentheses
Use 'return' statement to return a value from the function
I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.
17 questions including mcq, case study, sql coding
I applied via Approached by Company and was interviewed in Jun 2022. There were 2 interview rounds.
Asked to present on a use case/ project I worked in the past. Many questions were made on presentation in general.
I applied via Approached by Company and was interviewed in Nov 2024. There was 1 interview round.
I played a key role in designing the data collection process, analyzing the data, and developing predictive models.
Led the team in defining project goals and objectives
Designed and implemented data collection methods
Analyzed data using statistical techniques and machine learning algorithms
Developed predictive models to support decision-making
Collaborated with stakeholders to interpret results and make recommendations
based on 47 reviews
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Scientist
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Senior Scientist
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