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Streamhub Senior Data Analyst Interview Questions and Answers
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I applied via Naukri.com and was interviewed in Sep 2024. There was 1 interview round.
(4 Questions)
- Q1. Tell me about yourself
- Ans.
I am a Senior Data Analyst with 5+ years of experience in analyzing complex data sets and providing actionable insights.
5+ years of experience in data analysis
Proficient in statistical analysis and data visualization tools such as Python, R, and Tableau
Strong problem-solving skills and ability to communicate findings to non-technical stakeholders
- Q2. Asked about recent project
- Q3. Types of join in sql
- Ans.
Types of join in SQL include inner join, outer join, left join, right join, and full join.
Inner join: Returns rows when there is a match in both tables
Outer join: Returns all rows when there is a match in one of the tables
Left join: Returns all rows from the left table and the matched rows from the right table
Right join: Returns all rows from the right table and the matched rows from the left table
Full join: Returns ro
- Q4. Case when statement questions
Skills evaluated in this interview
(2 Questions)
- Q1. Mostly related to powerbi, python very little sql
- Q2. Tell me about yourself, situation based questions
Interview Preparation Tips
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
(5 Questions)
- Q1. How will you find loyal customers for a store like DMart , SmartBazar
- Ans.
Utilize customer transaction data and behavior analysis to identify loyal customers for DMart and SmartBazar.
Use customer transaction history to identify frequent shoppers
Analyze customer behavior patterns such as repeat purchases and average spend
Implement loyalty programs to incentivize repeat purchases
Utilize customer feedback and reviews to gauge loyalty
Segment customers based on their shopping habits and preferenc
- Q2. Who is more valuable a customer who is making small transactions everyday or the customer who makes big transactions in a month
- Ans.
It depends on the business model and goals of the company.
Small transactions everyday can lead to consistent revenue streams and customer engagement.
Big transactions in a month can indicate high purchasing power and potential for larger profits.
Consider customer lifetime value, retention rates, and overall business strategy when determining value.
- Q3. What will you do as a data scientist if the sales of a store is declining
- Ans.
I would conduct a thorough analysis of the sales data to identify trends and potential causes of the decline.
Review historical sales data to identify patterns or seasonality
Conduct customer surveys or interviews to gather feedback
Analyze competitor data to understand market dynamics
Implement predictive modeling to forecast future sales
Collaborate with marketing team to develop targeted strategies
- Q4. We have to bundle the items together in the units of 2-3 as a single units like chips of 3 packets together. how to identify which items to bundle and number of units. Create a machine learning model for i...
- Q5. You are working in a project, where your approach towards problem is more innovative while the rest of the team is following conventional approach. how will you convince them to follow your approach.
- Ans.
I would showcase the potential benefits and results of my innovative approach to convince the team.
Highlight the advantages of the innovative approach such as improved efficiency, accuracy, or cost-effectiveness.
Provide real-world examples or case studies where similar innovative approaches have led to successful outcomes.
Encourage open discussion and collaboration within the team to explore the potential of combining ...
1. A store has promotional offers how will you analyse that offers are working in their favour.
2. What data will you require if you want to predict the sales of the chocolate in a store.
3. Why data is distributed normally in linear regression.
4. Difference between linear and logistic regression
5. A person who is senior to you and you are working on the same project. But that person has very bad reputation of misbehaving and being rude to people. And he is doing same with you. What will you do?
Interview Preparation Tips
Skills evaluated in this interview
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain any ML model.
- Q2. Create Dataframe from two lists.
Interview Preparation Tips
- Python
- pandas
- ML
Rishu Paul
They will ask aptitude, reasoning and other questions as an online test to know your problem solving skills.
They will give a topic where either we have to speak or write on that topic
(2 Questions)
- Q1. Intro, questions related to python, guesstimate questions
- Q2. Behavorial questions and other hr questions included
I applied via campus placement at National Institute of Technology (NIT), Warangal
1 hour aptitude test
(1 Question)
- Q1. What is one hot encoding
(1 Question)
- Q1. What is your long term goal
Data Scientist Interview Questions & Answers
Acuity Knowledge Partners
Anonymous
posted on 11 Sep 2024
I applied via Company Website and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Explain the RAG pipeline?
- Ans.
RAG pipeline is a data processing pipeline used in data science to categorize data into Red, Amber, and Green based on certain criteria.
RAG stands for Red, Amber, Green which are used to categorize data based on certain criteria
Red category typically represents data that needs immediate attention or action
Amber category represents data that requires monitoring or further investigation
Green category represents data that...
- Q2. Explain Confusion metrics
- Ans.
Confusion metrics are used to evaluate the performance of a classification model by comparing predicted values with actual values.
Confusion matrix is a table that describes the performance of a classification model.
It consists of four different metrics: True Positive, True Negative, False Positive, and False Negative.
These metrics are used to calculate other evaluation metrics like accuracy, precision, recall, and F1 s...
Skills evaluated in this interview
Irene Diana
I applied via Naukri.com and was interviewed in May 2024. There were 3 interview rounds.
(2 Questions)
- Q1. About data profiling
- Q2. Data mapping questions
(2 Questions)
- Q1. Problem solving questions
- Q2. Scenario based questions
(2 Questions)
- Q1. Yet to receive call
- Q2. Yet to confirm the dates
Janani S. P.
(1 Question)
- Q1. About pharmacology
DSA and ML, AI, Coding question
(1 Question)
- Q1. Case study which was easy
(1 Question)
- Q1. In depth questions on ML
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