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Ganit Business Solutions Data Analyst Interview Questions, Process, and Tips
Top Ganit Business Solutions Data Analyst Interview Questions and Answers
- Q1. Diff in Bagging and boosting. Explain XgBoost
- Q2. 1. ML project explanation
- Q3. 2.different performance metric
Ganit Business Solutions Data Analyst Interview Experiences
3 interviews found
1DS19CV096 Sarvagya Chaudhary
I applied via campus placement at Dayananda Sagar College of Engineering, Bangalore and was interviewed in Oct 2022. There were 3 interview rounds.
Apti questions leval medium it was easy to go for round 2
(1 Question)
- Q1. Share a video of yourself on the given topic and it should not be more than 2 mins
(1 Question)
- Q1. Started with self intro and projects. Coding questions based on your resume. Python preferred. Leval medium. 1 puzzel from gfg or other plateforms.
Interview Preparation Tips
Sayan Mondal
I applied via Recruitment Consultant and was interviewed in Jul 2021. There were 3 interview rounds.
Interview Questionnaire
3 Questions
- Q1. 1. ML project explanation
- Ans.
Developed a machine learning model to predict customer churn for a telecom company.
Used logistic regression and decision tree algorithms for classification.
Performed feature engineering to extract relevant features from customer data.
Achieved an accuracy of 85% on the test set.
Provided actionable insights to the company to reduce customer churn.
- Q2. 2.different performance metric
- Ans.
Different performance metrics are used to measure the effectiveness of a model or system.
Accuracy
Precision
Recall
F1 Score
ROC Curve
AUC
Mean Squared Error
Root Mean Squared Error
R-squared
- Q3. Diff in Bagging and boosting. Explain XgBoost
- Ans.
Bagging and boosting are ensemble learning techniques. XgBoost is a gradient boosting algorithm.
Bagging involves training multiple models on different subsets of the data and combining their predictions.
Boosting involves training models sequentially, with each model trying to correct the errors of the previous model.
XgBoost is an optimized implementation of gradient boosting that uses a combination of tree-based models...
Interview Preparation Tips
Skills evaluated in this interview
Harshal Khedkar
I was interviewed in Mar 2021.
Interview Questionnaire
1 Question
- Q1. Current Project
- Ans.
My current project involves analyzing customer behavior on our e-commerce platform.
Collecting and cleaning data from various sources
Creating visualizations to identify patterns and trends
Using statistical models to make predictions and recommendations
Collaborating with cross-functional teams to implement changes
Tracking and measuring the impact of changes on customer behavior
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
Anonymous
I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about yourself and standard tell me about a project
Interview Preparation Tips
Selected
I applied via Campus Placement and was interviewed in Aug 2023. There were 3 interview rounds.
Assignment Submission
(5 Questions)
- Q1. With the manager and Employees.
- Q2. Explain Pandas Dataframe.
- Ans.
Pandas DataFrame is a 2-dimensional labeled data structure with columns of potentially different types.
It is a table-like data structure with rows and columns.
Each column can have a different data type.
It allows for easy manipulation and analysis of data.
Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
- Q3. Dataframe Manipulation.
- Q4. Numpy array questions.
- Q5. Questions from statistical Tests
Skills evaluated in this interview
I applied via Referral and was interviewed in Dec 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Personality based question and to present slide on a specific topic
Interview Preparation Tips
Selected
I applied via Company Website and was interviewed in Dec 2023. There were 2 interview rounds.
(1 Question)
- Q1. The interviewer asked to open a dataset in colab or jupyter ( your choice). Then asked me to perform various kinds of data manipulation on it. The interview was fine. Requirements are python and SQL.
(1 Question)
- Q1. They asked me to create a dataset containing names, phone numbers, and other details. He told me to extract the sum of all the digits of the number in a different column ( free to use any kind of function)...
Aman Saini
Selected
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
Regarding problem-solving
Regarding sql question
Selected
I applied via Campus Placement and was interviewed in Aug 2023. There were 3 interview rounds.
Assignment Submission
(5 Questions)
- Q1. With the manager and Employees.
- Q2. Explain Pandas Dataframe.
- Ans.
Pandas DataFrame is a 2-dimensional labeled data structure with columns of potentially different types.
It is a table-like data structure with rows and columns.
Each column can have a different data type.
It allows for easy manipulation and analysis of data.
Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})
- Q3. Dataframe Manipulation.
- Q4. Numpy array questions.
- Q5. Questions from statistical Tests
Skills evaluated in this interview
I applied via Referral and was interviewed in Dec 2020. There were 5 interview rounds.
Interview Questionnaire
1 Question
- Q1. Personality based question and to present slide on a specific topic
Interview Preparation Tips
Ganit Business Solutions Interview FAQs
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Ganit Business Solutions Data Analyst Reviews and Ratings
based on 12 reviews
Rating in categories
|
Data Analyst
106
salaries
|  ₹2 L/yr - ₹9 L/yr |
|
Senior Data Analyst
84
salaries
| ₹5 L/yr - ₹16 L/yr |
|
Data Scientist
44
salaries
| ₹8 L/yr - ₹23 L/yr |
|
Data Engineer
20
salaries
| ₹6 L/yr - ₹9 L/yr |
|
Senior Data Scientist
8
salaries
| ₹17 L/yr - ₹25 L/yr |
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