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Sapio Analytics Interview Questions and Answers
Sapio Analytics Interview Experiences
8 interviews found
Anonymous
Selected
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
Interview Preparation Tips
Data Analyst Interview Questions asked at other Companies
Assignment was given to work on creating strategies and marketing material
Marketing Executive Interview Questions asked at other Companies
Tanya Arora
(2 Questions)
- Q1. Joins inner join cross join
- Q2. Views, triggers
(2 Questions)
- Q1. Why do you want to join sapio
- Q2. Hy should we hire you
Associate Interview Questions asked at other Companies
I applied via Referral and was interviewed in Apr 2023. There were 3 interview rounds.
(3 Questions)
- Q1. Tell me about Yourself
- Q2. Do you have any internship experience?
- Q3. What tools have you worked with?
- Ans.
I have worked with tools such as Excel, SQL, Python, Tableau, and Power BI.
Excel
SQL
Python
Tableau
Power BI
(6 Questions)
- Q1. Can regression be used to solve Classification Problems?
- Ans.
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.
- Q2. What is Bivariate Analysis?
- Ans.
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...
- Q3. Describe your most recent project.
- Q4. How do you perform feature selection?
- Q5. Explain the model evaluation metrics.
- Ans.
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...
- Q6. Differentiate between Inner and Outer Join
- Ans.
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
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- Classification
- Regression
- ML
- SQL
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Data Analyst Interview Questions asked at other Companies
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I applied via LinkedIn and was interviewed in Apr 2023. There were 3 interview rounds.
(5 Questions)
- Q1. OOPS related, Real time example oops
- Q2. Django architecture, jwt token
- Q3. Difference tuple and list
- Ans.
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]
- Q4. Dictionary with examples
- Ans.
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'}
- Q5. Decorator with example
- Ans.
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
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Skills evaluated in this interview
Python and Django Developer Interview Questions asked at other Companies
Selected
I applied via LinkedIn and was interviewed before Feb 2023. There was 1 interview round.
(1 Question)
- Q1. About APIs. Exception handling in python .
Backend Developer Intern Interview Questions asked at other Companies
Jobs at Sapio Analytics
General maths
(1 Question)
- Q1. About excel and problem solving
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Data Analyst Interview Questions asked at other Companies
I applied via Internshala and was interviewed in Nov 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. Related to AWS
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Pratik Chaudhari
I applied via Referral
Interview Preparation Tips
Experience: Sent resume to an HR through Linkedin and got the call for interview
Round: Technical Interview
Experience: Had 3 rounds of technical interviews with Product Owner, Product Manager and VP Product. Most of the questions were related to maths, statistics and a few on machine learning. Even though I did not have much background on these, I was asked to give my inputs and try to find a solution. We discussed recommendation engines for Quora, Linkedin and e-commerce websites. Then they asked me how can we remove the bias that comes in the practo ratings of the doctors due to feedback from various channels. How can we identify if the customer is booking an appointment by looking at reviews or ratings? How can we identify spam reviews before publishing them? How can we build a product which can help users write a better quality review? Most of the questions were related to data science and how we can improve the products using data. The data analyst role for which I was being interviewed, was a first of its kind role in Practo. The JD was to basically work with the product team and help them in improving products, building new features etc. using data science/ data analytics.
Skills: Product Sense, Attitude, Data Science, Data Analysis, Basics Of Machine Learning
College Name: IIT Madras
Motivation: being the leader of the healthcare industry, high growth startup, opportunity to solve interesting problems using data
I applied via Campus Placement
Good very good have a nice day
(2 Questions)
- Q1. Very godo as well as very good
- Q2. Very well manage the team as wells
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