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Capri Global Capital Senior Data Scientist Interview Questions and Answers
Capri Global Capital Senior Data Scientist Interview Experiences
1 interview found
Selected
I applied via Recruitment Consulltant and was interviewed before Sep 2023. There was 1 interview round.
Simple Python Coding Test focused on pandas and sql queries as well
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Selected
I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basic statistics and ML questions.
(1 Question)
- Q1. Face to face interview round. Asked me to write codes on paper
(1 Question)
- Q1. Good HR, compensation was better
Selected
I applied via Naukri.com and was interviewed before May 2023. There were 3 interview rounds.
Had three coding problems which was each
(1 Question)
- Q1. What are windows function in SQL
- Ans.
Window functions in SQL are used to perform calculations across a set of table rows related to the current row.
Window functions are used to calculate values based on a set of rows related to the current row.
They allow you to perform calculations without grouping the rows into a single output row.
Examples of window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
(1 Question)
- Q1. What are different algorithm in clustering?
- Ans.
Different clustering algorithms include K-means, DBSCAN, Hierarchical clustering, and Gaussian Mixture Models.
K-means: partitions data into K clusters based on centroids
DBSCAN: density-based clustering algorithm
Hierarchical clustering: builds a tree of clusters
Gaussian Mixture Models: assumes data points are generated from a mixture of Gaussian distributions
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed in Jul 2024. There were 3 interview rounds.
(1 Question)
- Q1. Basic statistics and ML questions.
(1 Question)
- Q1. Face to face interview round. Asked me to write codes on paper
(1 Question)
- Q1. Good HR, compensation was better
Create data frame, make histogram
Interview Preparation Tips
Selected
I was interviewed in Jan 2024.
(1 Question)
- Q1. He asked me to rate my sql and python out of 5 and gave me a scenario and asked to write a sql for it, it was basic left join and case statement question
(1 Question)
- Q1. This round was basically discussion round with the interviewer, he asked me what i work in and what thing do i take care off as a data scientist
Selected
I applied via Campus Placement and was interviewed before Jul 2023. There were 2 interview rounds.
Questions on Prob Stats, ML
(2 Questions)
- Q1. Models you have worked on
- Q2. Internship Experience
Selected
I applied via Naukri.com and was interviewed before May 2023. There were 3 interview rounds.
Had three coding problems which was each
(1 Question)
- Q1. What are windows function in SQL
- Ans.
Window functions in SQL are used to perform calculations across a set of table rows related to the current row.
Window functions are used to calculate values based on a set of rows related to the current row.
They allow you to perform calculations without grouping the rows into a single output row.
Examples of window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), and NTILE().
(1 Question)
- Q1. What are different algorithm in clustering?
- Ans.
Different clustering algorithms include K-means, DBSCAN, Hierarchical clustering, and Gaussian Mixture Models.
K-means: partitions data into K clusters based on centroids
DBSCAN: density-based clustering algorithm
Hierarchical clustering: builds a tree of clusters
Gaussian Mixture Models: assumes data points are generated from a mixture of Gaussian distributions
Skills evaluated in this interview
Data Scientist Interview Questions & Answers
Bharat Financial Inclusion
Anonymous
posted on 6 Sep 2021
I applied via Recruitment Consultant and was interviewed in Mar 2021. There were 4 interview rounds.
Interview Questionnaire
4 Questions
- Q1. How familar with python,SQL,and ml models
- Ans.
I am very familiar with Python, SQL, and ML models.
I have extensive experience using Python for data analysis and machine learning tasks.
I am proficient in writing SQL queries to extract data from databases.
I have worked with a variety of ML models, including regression, classification, and clustering.
I am familiar with popular ML libraries such as scikit-learn, TensorFlow, and Keras.
I have experience with data preproc...
- Q2. Ml Classification models including type of metrics
- Ans.
ML classification models use various metrics to evaluate performance.
Common metrics include accuracy, precision, recall, F1 score, and AUC-ROC.
Accuracy measures the proportion of correct predictions.
Precision measures the proportion of true positives among all positive predictions.
Recall measures the proportion of true positives among all actual positives.
F1 score is the harmonic mean of precision and recall.
AUC-ROC me...
- Q3. How you handle data when outliers are in data
- Ans.
Outliers can significantly impact analysis. It's important to identify and handle them appropriately.
Visualize the data to identify outliers
Consider the source of the outliers and whether they are valid data points
Remove outliers if they are invalid or use robust statistical methods that are less sensitive to outliers
Document any handling of outliers in the analysis report
- Q4. What Type of statistics used In earlier organization to analyse and build models
- Ans.
The organization used descriptive and inferential statistics to analyze and build models.
Descriptive statistics were used to summarize and describe the data, such as mean, median, and standard deviation.
Inferential statistics were used to make predictions and draw conclusions about the population based on the sample data, such as hypothesis testing and regression analysis.
The organization may have also used time series...
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Capri Global Capital Senior Data Scientist Interview Process
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