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ShopUp Data Analyst Interview Questions and Answers
ShopUp Data Analyst Interview Experiences
1 interview found
Anonymous
I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 interview rounds.
Moderate level questions asked in maths aptitude , reasoning train, work time, ratio etc.
2 coding question asked and 45 min are given to solve.
(2 Questions)
- Q1. Some basic code snippets, list comprehension, patterns
- Q2. In depth ml and stats question for data science role, project life cycle
Interview questions from similar companies
Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
(2 Questions)
- Q1. Past experiences
- Q2. How one can help with eshopbox
- Ans.
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
(1 Question)
- Q1. What is your notice period.
I applied via campus placement at SRM Institute of Science & Technology, Chennai and was interviewed in Apr 2024. There was 1 interview round.
(2 Questions)
- Q1. Difference between logistic regression and svm
- Ans.
Logistic regression is a linear model used for binary classification, while SVM is a non-linear model that can handle complex decision boundaries.
Logistic regression is a probabilistic model that predicts the probability of a binary outcome based on input features.
SVM aims to find the hyperplane that best separates the classes in a high-dimensional space.
Logistic regression is more interpretable and easier to implement...
- Q2. Data augmentation related questions
Interview Preparation Tips
- Machine Learning
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed in Feb 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Difference between Drop and Truncate ?
- Ans.
Drop deletes the table structure and data, while truncate only deletes the data.
Drop is a DDL (Data Definition Language) command, while truncate is a DML (Data Manipulation Language) command.
Drop removes the table from the database, while truncate only removes the rows from the table.
Drop is slower and requires more permissions than truncate.
Example: DROP TABLE table_name; TRUNCATE TABLE table_name;
- Q2. To write SQL queries
(2 Questions)
- Q1. Why you are switching to non-core?
- Ans.
I am switching to non-core because I want to explore new opportunities and challenges outside of my current field.
Seeking new challenges and opportunities
Exploring different industries and roles
Developing new skills and gaining diverse experience
- Q2. What are your expected salary?
- Ans.
I am looking for a competitive salary that reflects my skills and experience in the data analysis field.
Research the average salary for Data Analysts in your area to have a realistic expectation
Consider your level of experience, education, and any specialized skills you bring to the table
Be prepared to negotiate based on the company's budget and benefits package
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed before Apr 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Standard W3 School SQL questions
- Q2. Case Study questions
(1 Question)
- Q1. Culture Fit questions
I applied via Referral and was interviewed in Jun 2024. There were 3 interview rounds.
50 questions need to do in 15 mins.
(1 Question)
- Q1. Hr round easy asked to solve easy puzzle and guestimate.
(1 Question)
- Q1. Onsite interview where they give you task that is irrelevant.
Interview Preparation Tips
About customer data hiw may job card and warrant parts
Power Bi with visualization
(1 Question)
- Q1. Only discussion about previous experience
Selected
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
(2 Questions)
- Q1. Past experiences
- Q2. How one can help with eshopbox
- Ans.
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
(1 Question)
- Q1. What is your notice period.
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