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I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
This was coding test mainly on python and sql
The test was easy and mainly includes questions of stats
Assignment was given to work on creating strategies and marketing material
I applied via Referral and was interviewed in Apr 2023. There were 3 interview rounds.
I have worked with tools such as Excel, SQL, Python, Tableau, and Power BI.
Excel
SQL
Python
Tableau
Power BI
No, regression is used for predicting continuous values, while classification is used for predicting categorical values.
Regression predicts continuous values, while classification predicts categorical values
Regression models include linear regression, polynomial regression, etc.
Classification models include logistic regression, decision trees, etc.
Bivariate analysis is the analysis of two variables to determine if there is a relationship between them.
It involves examining the relationship between two variables to determine if changes in one variable are associated with changes in the other variable.
Common techniques used in bivariate analysis include correlation analysis, scatter plots, and regression analysis.
Bivariate analysis helps in understanding the streng...
Model evaluation metrics are used to assess the performance of a predictive model by comparing predicted values with actual values.
Common model evaluation metrics include accuracy, precision, recall, F1 score, ROC-AUC, and mean squared error.
Accuracy measures the proportion of correct predictions out of the total predictions made by the model.
Precision measures the proportion of true positive predictions out of all pos...
Inner join returns only the matching rows between two tables, while outer join returns all rows from both tables.
Inner join combines rows from two tables based on a related column
Outer join combines rows from two tables even if there is no match based on a related column
Examples: Inner join - SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id
Outer join - SELECT * FROM table1 LEFT OUTER JOIN table2 ON table
Sapio Analytics interview questions for popular designations
I applied via LinkedIn and was interviewed in Apr 2023. There were 3 interview rounds.
Tuple is immutable, ordered collection of elements while list is mutable, ordered collection of elements.
Tuple is defined using parentheses () while list is defined using square brackets []
Tuple elements cannot be changed once defined while list elements can be modified
Tuple is faster than list for iteration and accessing elements
Example: tuple_example = (1, 2, 3) and list_example = [1, 2, 3]
A dictionary in Python is a collection of key-value pairs, where each key is unique and maps to a specific value.
Keys must be unique within a dictionary.
Values can be of any data type, including lists, tuples, or even other dictionaries.
Access values in a dictionary using their corresponding keys.
Example: {'name': 'John', 'age': 30, 'city': 'New York'}
A decorator in Python is a design pattern that allows you to add new functionality to an existing object without modifying its structure.
Decorators are functions that take another function as an argument and extend its behavior without modifying it directly.
They are commonly used in web frameworks like Django to add functionality to views or methods.
Example: @login_required decorator in Django ensures that only authent
Abstraction, encapsulation
Get interview-ready with Top Sapio Analytics Interview Questions
I applied via LinkedIn and was interviewed before Feb 2023. There was 1 interview round.
General maths
I applied via Internshala and was interviewed in Nov 2021. There were 4 interview rounds.
I was interviewed in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
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