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LiquidHub Analytics Consultant Interview Questions and Answers
LiquidHub Analytics Consultant Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed before May 2023. There was 1 interview round.
(2 Questions)
- Q1. What is the difference between sets and groups in Tableau?
- Ans.
Sets in Tableau are custom groupings of dimensions or measures, while groups are predefined groupings of dimensions.
Sets are dynamic and can be created based on conditions or filters, while groups are static and predefined.
Sets can be used for creating custom segments or categories, while groups are typically used for organizing data into predefined categories.
Examples: A set could be created to group customers who mad...
- Q2. What are LOD expressions in Tableau?
- Ans.
LOD expressions in Tableau are Level of Detail expressions that allow you to compute values at different levels of granularity.
LOD expressions can be used to calculate values at the level of detail of the visualization, regardless of the dimensions in the view.
They can be written using FIXED, INCLUDE, or EXCLUDE keywords to specify the level of detail.
For example, you can use an LOD expression to calculate the total sa...
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Interview questions from similar companies
Selected
I applied via LinkedIn and was interviewed in Jul 2024. There were 4 interview rounds.
(1 Question)
- Q1. They asked about my experience, told about jd and tried to see if am suitable for this role
(1 Question)
- Q1. Asked about my experience, in details about Google analytics Adobe analytics, sql tableau and python
It was with the client. Tested if I am will be good for the role
(1 Question)
- Q1. Salary expectations and when I can join
- Ans.
I am open to discussing salary based on the market rate and my experience. I can join within a month.
Discussing salary based on market rate and experience
Open to negotiation
Available to join within a month
Selected
(1 Question)
- Q1. Optimization techniques in spark
(1 Question)
- Q1. Tell me about your project
(1 Question)
- Q1. After bragging about their company for 25 minutes, they proceed to give you a 15% hike. All the negative reviews about this company is true
Interview Preparation Tips
Selected
I applied via Recruitment Consulltant and was interviewed in Jul 2024. There were 3 interview rounds.
1.Describe your project.
2.Explain machine learning concept.
Presentation based question on case study
(1 Question)
- Q1. Tell something which you haven't put in your resume
- Ans.
I have experience in organizing and leading community service projects
Organized a charity event to raise funds for a local animal shelter
Led a team of volunteers in cleaning up a park in the neighborhood
Coordinated a food drive for a homeless shelter
Aptitude, coding on python NLP
Python Data Frames, String list manipulation
(2 Questions)
- Q1. Common discussion
- Q2. Salary location etc
I applied via Campus Placement
Test+2 interviews(technical and statistics)
Basic guestimates and case studies
Interview Preparation Tips
(1 Question)
- Q1. Questions on MLP, ML
I applied via Naukri.com and was interviewed in Sep 2023. There were 4 interview rounds.
(1 Question)
- Q1. Data science related areas
Case study related to semantic search
(1 Question)
- Q1. Questions based on case study
Saransh Goyal
Selected
I was interviewed in Apr 2023.
(1 Question)
- Q1. Questions related to data science
(1 Question)
- Q1. Questions related to data science
Interview Preparation Tips
Astha Agarwal
Selected
I applied via campus placement at Dehradun Institute of Technology, Dehradun and was interviewed before Oct 2023. There were 3 interview rounds.
The first was a mcq based coding round for campus placement
This was a pairing coding round
(1 Question)
- Q1. Explain different unsupervised algo
- Ans.
Unsupervised algorithms are used to find patterns in data without labeled outcomes.
K-means clustering: partitions data into K clusters based on similarity
Hierarchical clustering: creates a tree of clusters based on similarity
Principal Component Analysis (PCA): reduces dimensionality by finding orthogonal components
Association rule mining: discovers interesting relationships between variables in large datasets
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LiquidHub Analytics Consultant Interview Process
based on 1 interview
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