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Upcurve Consumer Technologies Private Limited Data Analyst Interview Questions and Answers
Upcurve Consumer Technologies Private Limited Data Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed before Feb 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Will ask about your previous experience
- Q2. It should be related to data and ops and travel domain
(2 Questions)
- Q1. Do you have knowledge of travel domain
- Ans.
Yes, I have knowledge of the travel domain.
I have worked on data analysis projects for travel companies
I am familiar with travel industry trends and customer behavior
I have experience working with travel booking and reservation systems
I have analyzed data related to travel expenses and budgeting
I have knowledge of travel regulations and policies
- Q2. Yes. I have knowledge of travel domain
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Data Analyst Interview Questions & Answers
Ganit Inc
1DS19CV096 Sarvagya Chaudhary
posted on 2 Nov 2022
I applied via Campus Placement and was interviewed in Oct 2022. There were 4 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
I applied via Campus Placement
Easy to moderate level aptitude test
data interpretation, analytics, python, etc were asked
(1 Question)
- Q1. Speak for 2 min 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
(1 Question)
- Q1. Technical + hr round intro projects intern ques python code 2 puzzle 1 power bi question
Interview Preparation Tips
do puzzles from gfg
basic knowledge of your mentioned skills
imp- sql, python, puzzle, powerbi
(1 Question)
- Q1. What are your expectations?
(2 Questions)
- Q1. Give a small Introduction about yourself
- Q2. Why do you want to switch from your previous company ?
Selected
I appeared for an interview in Jan 2025.
Basic aptitude test with around 20-25 questions
A video assignment on a given topic
(4 Questions)
- Q1. Based on introduction
- Q2. Question on excel
- Q3. Question on SQL intermediate level
- Q4. Basic array reversal question
Harshal Khedkar
I appeared for an interview 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
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...
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Skills evaluated in this interview
Selected
I applied via Campus Placement and was interviewed before Jun 2023. There was 1 interview round.
(2 Questions)
- Q1. 2 puzzles, basic levels use of AP, GP
- Q2. 2 basic code outputs
Selected
I applied via Campus Placement and was interviewed before Nov 2023. There were 3 interview rounds.
Mathematical and pseudo code
(1 Question)
- Q1. Given a topic and ask to speak
(1 Question)
- Q1. Python libraries
Interview Preparation Tips
- Python
- SQL
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Upcurve Consumer Technologies Private Limited Data Analyst Interview Process
based on 1 interview
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