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Ganit Inc Interview Questions and Answers

Updated 2 Jul 2025
Popular Designations

31 Interview questions

An Engagement Manager was asked 12mo ago
Q. How will you help Ganit grow?
Ans. 

I will help Ganit grow by implementing strategic initiatives, fostering client relationships, and driving business development.

  • Developing and executing growth strategies

  • Building and maintaining strong client relationships

  • Identifying new business opportunities

  • Leading cross-functional teams to achieve growth targets

View all Engagement Manager interview questions
A Data Analyst was asked
Q. Tell me about a time you had to demonstrate strong communication skills.
Ans. 

In this video, I will discuss the importance of data analysis in decision-making processes across various industries.

  • Data analysis helps organizations make informed decisions based on trends and patterns.

  • For example, retail companies use sales data to optimize inventory and improve customer satisfaction.

  • In healthcare, data analysis can identify patient care trends, leading to better treatment plans.

  • Financial insti...

View all Data Analyst interview questions
A Data Analyst was asked
Q. Speak for 2 minutes on a particular topic.
Ans. 

The impact of social media on society

  • Social media has revolutionized communication and connectivity

  • It has transformed the way people interact and share information

  • Social media has both positive and negative effects on society

  • Examples include the spread of fake news, cyberbullying, and online activism

  • It has also facilitated business growth and marketing strategies

View all Data Analyst interview questions
A ml engineer was asked
Q. Share any cloud experience with AWS.
Ans. 

I have experience in deploying and managing applications on AWS cloud platform.

  • Deployed and managed a web application on AWS Elastic Beanstalk

  • Used AWS Lambda for serverless computing

  • Configured and managed EC2 instances for various projects

  • Used S3 for storing and retrieving data

  • Set up and managed RDS instances for databases

  • Used CloudFormation for infrastructure as code

  • Implemented auto-scaling and load balancing for...

View all ml engineer interview questions
A ml engineer was asked
Q. Explain a data science project you have worked on.
Ans. 

Developed a predictive model to identify potential customer churn for a telecom company

  • Performed exploratory data analysis to identify key features affecting customer churn

  • Preprocessed data by handling missing values and encoding categorical variables

  • Built and compared various machine learning models including logistic regression, decision tree, and random forest

  • Tuned hyperparameters using grid search and cross-va...

View all ml engineer interview questions
A Data Analyst was asked
Q. What are two different performance metrics?
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

View all Data Analyst interview questions

Ganit Inc HR Interview Questions

6 questions and answers

Q. What challenges are you facing in this field?
Q. Why did you choose Ganit?
Q. Why are you looking for a change?
A Data Analyst was asked
Q. Tell me about your 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

View all Data Analyst interview questions
Are these interview questions helpful?
A Senior Data Analyst was asked 2mo ago
Q. What are tokens? What if token is not present in model's vocabulary? (These questions were asked because I mentioned NLP project in my resume.)
Ans. 

Tokens are individual units of text processed in NLP; unknown tokens can lead to challenges in model performance.

  • Tokens are the smallest units of text, such as words or subwords, used in Natural Language Processing (NLP).

  • For example, the sentence 'I love data analysis' can be tokenized into ['I', 'love', 'data', 'analysis'].

  • If a token is not present in the model's vocabulary, it is often replaced with a special to...

View all Senior Data Analyst interview questions
A Senior Data Analyst was asked 2mo ago
Q. What is lambda function? What all data types it supports?
Ans. 

A lambda function is a small anonymous function defined with the lambda keyword in Python.

  • Lambda functions can take any number of arguments but can only have one expression.

  • They are often used for short, throwaway functions where defining a full function is unnecessary.

  • Example: square = lambda x: x ** 2; print(square(5)) outputs 25.

  • Lambda functions can be used with functions like map(), filter(), and reduce().

  • Exam...

View all Senior Data Analyst interview questions
A Data Analyst was asked
Q. 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 m...

View all Data Analyst interview questions

Ganit Inc Interview Experiences

26 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I appeared for an interview in Apr 2025, where I was asked the following questions.

  • Q1. Difference between list, tuple and dictionary.
  • Q2. Difference between shallow and deep copy.
  • Ans. 

    Shallow copy duplicates an object but references nested objects, while deep copy duplicates everything recursively.

    • Shallow copy creates a new object but inserts references to the original object's nested objects.

    • Deep copy creates a new object and recursively copies all nested objects, resulting in completely independent objects.

    • Example of shallow copy in Python: `list1 = [1, 2, [3, 4]]; list2 = list1.copy()`; modifying...

  • Answered by AI
  • Q3. SQL question based on substring and date.
  • Q4. Explain data cleaning steps involved in Generative AI project which I mentioned in my resume.
  • Ans. 

    Data cleaning in Generative AI ensures high-quality input for model training and accurate outputs.

    • 1. Remove duplicates: Identify and eliminate duplicate records to ensure unique data points.

    • 2. Handle missing values: Use techniques like imputation or removal to address gaps in the dataset.

    • 3. Standardize formats: Ensure consistency in data formats, such as date formats (e.g., YYYY-MM-DD).

    • 4. Correct errors: Identify and r...

  • Answered by AI
  • Q5. How to solve issues occurring between teams?
  • Ans. 

    Effective communication and collaboration are key to resolving inter-team issues.

    • Identify the root cause: Conduct meetings to understand the specific issues causing friction between teams.

    • Encourage open communication: Foster an environment where team members feel comfortable sharing their concerns and suggestions.

    • Establish clear roles and responsibilities: Ensure that each team understands their responsibilities to avo...

  • Answered by AI
  • Q6. What are tokens? What if token is not present in model's vocabulary? (These questions were asked because I mentioned NLP project in my resume.)
  • Ans. 

    Tokens are individual units of text processed in NLP; unknown tokens can lead to challenges in model performance.

    • Tokens are the smallest units of text, such as words or subwords, used in Natural Language Processing (NLP).

    • For example, the sentence 'I love data analysis' can be tokenized into ['I', 'love', 'data', 'analysis'].

    • If a token is not present in the model's vocabulary, it is often replaced with a special token l...

  • Answered by AI
  • Q7. Difference between map and apply function in pandas.
  • Ans. 

    Map applies a function element-wise, while apply can work on entire rows or columns in a DataFrame.

    • map() is used primarily with Series to apply a function to each element.

    • Example: df['column'].map(lambda x: x * 2) doubles each value in 'column'.

    • apply() can be used on both Series and DataFrames, allowing for more complex operations.

    • Example: df.apply(np.sum, axis=0) sums each column in the DataFrame.

    • map() is generally fa...

  • Answered by AI
  • Q8. What is lambda function? What all data types it supports?
  • Ans. 

    A lambda function is a small anonymous function defined with the lambda keyword in Python.

    • Lambda functions can take any number of arguments but can only have one expression.

    • They are often used for short, throwaway functions where defining a full function is unnecessary.

    • Example: square = lambda x: x ** 2; print(square(5)) outputs 25.

    • Lambda functions can be used with functions like map(), filter(), and reduce().

    • Example: ...

  • Answered by AI
  • Q9. Have you worked on Power BI or Tableau?
  • Ans. 

    Yes, I have extensive experience with both Power BI and Tableau for data visualization and reporting.

    • Created interactive dashboards in Power BI for sales performance tracking, enabling stakeholders to drill down into data.

    • Utilized Tableau to visualize patient data trends in a healthcare project, improving decision-making for treatment plans.

    • Developed automated reports in Power BI that reduced manual reporting time by 5...

  • Answered by AI
  • Q10. SQL question based on group by and where clause.

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident and well-prepared with the projects mentioned in resume. Apart from that, for Senior Data Analyst role they will expect you to have knowledge of SQL + at least one data visualization tool's working knowledge.

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 20 Feb 2025

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I appeared for an interview in Jan 2025.

Round 1 - Aptitude Test 

Basic aptitude test with around 20-25 questions

Round 2 - Assignment 

A video assignment on a given topic

Round 3 - Technical 

(4 Questions)

  • Q1. Based on introduction
  • Q2. Question on excel
  • Q3. Question on SQL intermediate level
  • Q4. Basic array reversal question
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Sep 2024. There were 3 interview rounds.

Round 1 - HR 

(3 Questions)

  • Q1. My current profile and responsibilities
  • Ans. 

    I am currently working as a Project Manager at a software development company.

    • Leading a team of developers and ensuring project deadlines are met

    • Collaborating with clients to gather requirements and provide updates on project progress

    • Creating project plans and tracking milestones

    • Conducting regular team meetings to discuss project status and address any issues

    • Managing project budget and resources effectively

  • Answered by AI
  • Q2. Current location
  • Ans. 

    I am currently located in New York City.

    • Living in a vibrant urban environment

    • Access to diverse cultural experiences

    • Close proximity to job opportunities

    • Convenient public transportation options

  • Answered by AI
  • Q3. Ctc expectations
  • Ans. 

    I expect a competitive CTC that reflects my skills, experience, and the value I bring to the organization.

    • Research industry standards for Engagement Manager roles to set a realistic expectation.

    • Consider my years of experience and previous salary as a benchmark.

    • Factor in the cost of living in the job location when discussing CTC.

    • Be open to negotiation, highlighting my unique skills that add value to the company.

  • Answered by AI
Round 2 - One-on-one 

(4 Questions)

  • Q1. About my profile, responsibilities at current organisation
  • Q2. Behavioural question
  • Ans. 

    I effectively managed a team through a challenging project, enhancing collaboration and achieving our goals successfully.

    • Led a cross-functional team of 10 during a product launch, ensuring clear communication and role definition.

    • Implemented weekly check-ins to address challenges and celebrate small wins, fostering team morale.

    • Utilized project management tools to track progress and deadlines, which improved accountabili...

  • Answered by AI
  • Q3. Why looking for change
  • Ans. 

    Seeking new challenges and opportunities for growth

    • Desire to expand skill set and knowledge

    • Looking for a more dynamic and fast-paced work environment

    • Seeking opportunities for career advancement and leadership roles

  • Answered by AI
  • Q4. Situational questions including client and project deliverY
Round 3 - Case Study 

Asked to prepare a account plan for a company and pitching them Ganits solution. Intervier initially asked questions about my profile, my responsibilities, project’s i have worked upon. Then asked to explain the deck. Did few cross questions on deck

Interview Preparation Tips

Interview preparation tips for other job seekers - Dont join Ganit. There will be no work life balance is what i was told upfront in both of my interviews. Same was told by people who are currently working or have left the organisation. You can notice most people are leaving organisation in less than a year.

Alumni’s of the company also told about hiring and firing scenario at the company.

Interviewers told i have cleared 2 rounds and wanted me for a meet and greet with cofounder. Before that round could haven they told they have selected some other candidate as he had quoted less salary expectation whereas I initially had told about my expected ctc. Still they took 2 rounds and before last round could happen they said they went ahead with other candidate.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Jun 2024. There were 5 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Questions about your profile and tech stack
  • Q2. Why Ganit? Why do you want to change?
Round 2 - Case Study 

Pitch deck for a role-playing session where you will pitch Ganit to the CTO of target company

Round 3 - One-on-one 

(1 Question)

  • Q1. Questions on value realization (proposed deliverables and how to measure value generated), timelines, ways of working
Round 4 - One-on-one 

(2 Questions)

  • Q1. Discussion with co-founder. Questions about profile and pitch deck
  • Q2. How will you help Ganit grow?
  • Ans. 

    I will help Ganit grow by implementing strategic initiatives, fostering client relationships, and driving business development.

    • Developing and executing growth strategies

    • Building and maintaining strong client relationships

    • Identifying new business opportunities

    • Leading cross-functional teams to achieve growth targets

  • Answered by AI
Round 5 - One-on-one 

(1 Question)

  • Q1. Another round a senior leader? Questions about clients you have worked with, rates offered, size of account and projects in terms of revenue
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I appeared for an interview in Apr 2025, where I was asked the following questions.

  • Q1. Asked about Previous projects....
  • Q2. How to implement incremental refresh?
  • Ans. 

    Incremental refresh in Power BI optimizes data loading by refreshing only new or changed data.

    • Define parameters for 'RangeStart' and 'RangeEnd' to filter data.

    • Set up incremental refresh policy in Power BI Desktop under 'Modeling' > 'Manage Parameters'.

    • Publish the report to Power BI Service to enable the incremental refresh.

    • Example: If you have a sales dataset, only refresh data from the last month instead of the ent...

  • Answered by AI

ml engineer Interview Questions & Answers

user image Anonymous

posted on 6 May 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I appeared for an interview in Apr 2025, where I was asked the following questions.

  • Q1. What do you understand by thorughput ?
  • Ans. 

    Throughput refers to the amount of data processed or transmitted in a given time frame, crucial for system performance.

    • Throughput is often measured in bits per second (bps) or transactions per second (TPS).

    • In networking, higher throughput means faster data transfer, e.g., a 1 Gbps connection can transfer 1 billion bits per second.

    • In machine learning, throughput can refer to the number of training iterations completed i...

  • Answered by AI
  • Q2. What are queues ?
  • Ans. 

    Queues are data structures that follow the First-In-First-Out (FIFO) principle for managing data elements.

    • Queues operate on a FIFO basis, meaning the first element added is the first to be removed.

    • Common operations include enqueue (adding an element) and dequeue (removing an element).

    • Queues are used in various applications like task scheduling, print job management, and breadth-first search in graphs.

    • Example: A printer...

  • Answered by AI
  • Q3. Describe the project where you have solved problems with ML solution ?
  • Ans. 

    Developed a predictive model to optimize inventory management for a retail company, reducing costs and improving stock availability.

    • Identified key factors affecting inventory levels, such as sales trends and seasonal demand.

    • Utilized time series analysis to forecast future product demand accurately.

    • Implemented a machine learning model using Python and libraries like scikit-learn and TensorFlow.

    • Achieved a 20% reduction i...

  • Answered by AI
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I appeared for an interview in Jun 2025, where I was asked the following questions.

  • Q1. What are the key responsbilities in machine learning?
  • Ans. 

    Key responsibilities of a Machine Learning Engineer include model development, data preprocessing, and deployment.

    • Data Collection: Gather relevant datasets for training models, e.g., using APIs or web scraping.

    • Data Preprocessing: Clean and transform data, such as handling missing values or normalizing features.

    • Model Selection: Choose appropriate algorithms based on the problem, e.g., using decision trees for classifica...

  • Answered by AI
  • Q2. How Does a machine learning differ from a data scienteist?

Data Analyst Interview Questions & Answers

user image Anonymous

posted on 23 Jul 2024

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Give a small Introduction about yourself
  • Q2. Why do you want to switch from your previous company ?

Senior Software Engineer Interview Questions & Answers

user image Mamta Collections

posted on 22 Jan 2025

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. What challenges you are facing in this field of challenges?
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
  • Q1. About myself and Carrier
  • Q2. About myself and experience
  • Ans. 

    Experienced Senior Business Analyst with a strong background in data analysis, project management, and stakeholder engagement.

    • Over 8 years of experience in business analysis across various industries, including finance and technology.

    • Led a project that improved operational efficiency by 30% through process mapping and data analysis.

    • Skilled in using tools like SQL, Tableau, and Excel for data visualization and reporting...

  • Answered by AI

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Interview Hub
1w (edited)
anshitanegi
·
ex -
Planet Spark
When HR’s Chinese English made me drop the interview!
So, I talked to the HR yesterday about the interview. I asked Please send me the location But their English… bro I was shocked! It was like talking to someone jisne english nahi kuch ar hi seekh liya ho, if the HR’s English is this I can only imagine the rest of the company I decided to drop the interview with this chinese english😶‍🌫️
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Ganit Inc Interview FAQs

How many rounds are there in Ganit Inc interview?
Ganit Inc interview process usually has 2-3 rounds. The most common rounds in the Ganit Inc interview process are One-on-one Round, Aptitude Test and Technical.
How to prepare for Ganit Inc interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Ganit Inc. The most common topics and skills that interviewers at Ganit Inc expect are Client Relationship Management, Lead Generation, Python, Cold Calling and Field Sales.
What are the top questions asked in Ganit Inc interview?

Some of the top questions asked at the Ganit Inc interview -

  1. here they tested our communication skill in which we were asked to record a sel...read more
  2. What are tokens? What if token is not present in model's vocabulary? (These que...read more
  3. Describe the project where you have solved problems with ML solutio...read more
How long is the Ganit Inc interview process?

The duration of Ganit Inc interview process can vary, but typically it takes about less than 2 weeks to complete.

Tell us how to improve this page.

Overall Interview Experience Rating

4.1/5

based on 25 interview experiences

Difficulty level

Moderate 100%

Duration

Less than 2 weeks 54%
2-4 weeks 38%
4-6 weeks 8%
View more
Join Ganit Inc We maximize decision velocity & minimize decision risk

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Ganit Inc Reviews and Ratings

based on 198 reviews

3.8/5

Rating in categories

3.9

Skill development

3.5

Work-life balance

3.6

Salary

3.4

Job security

3.7

Company culture

3.6

Promotions

3.7

Work satisfaction

Explore 198 Reviews and Ratings
Data Scientist (Senior/Mid)

Chennai,

Bangalore / Bengaluru

+1

3-8 Yrs

₹ 8-18 LPA

Sr Executive - Sales

New Delhi

2-4 Yrs

Not Disclosed

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