Droom Senior Data Analyst Interview Questions and Answers

The assignment involved analyzing sample data from Inshorts to extract valuable insights.

Q1. Can you elaborate on the projects that you have worked on?
Ans. 
I have worked on projects involving predictive modeling, natural language processing, and machine learning algorithms.
• Developed a predictive model to forecast customer churn for a telecommunications company

• Implemented sentiment analysis using natural language processing techniques on social media data

• Utilized machine learning algorithms to classify fraudulent transactions for a financial institution
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Q2. What were the key discussion points regarding the assignment?
Ans. 
Key discussion points regarding the assignment
• The methodology used to analyze the data

• The key findings and insights derived from the analysis

• Any challenges faced during the assignment and how they were overcome

• Recommendations for future improvements or further analysis
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Q1. Statistics, ML models, Assignment, Case Study
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Asked a few questions regarding my experience

Q1. Excel and SQL based questions
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Q1. Python and project based questions
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Q1. Why data? Why Tokopedia? Talk about bachelor's thesis?
Ans. 
Data analysis is crucial for making informed decisions. Tokopedia's vast data provides a great opportunity for analysis. My bachelor's thesis focused on data-driven insights.
• Data allows for informed decision-making and insights.

• Tokopedia's extensive data provides a valuable opportunity for analysis.

• My bachelor's thesis delved into data-driven insights and analysis.
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Q1. Walkthrough bachelor's thesis
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Formulating SQL queries based on the data presented by the interviewer during a screen-sharing session.

Q1. Tell me about yourself
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Q2. Questions based on past experience
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Q1. 1st round was more of Mathematical foundation screening before selecting for 2nd round
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Assignment was similar to work you gonna do as a Data Scientist at Inshorts.

Q1. Discussion on assignment
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Q1. Data Science related
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Q1. Advanced data science related questions
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Q1. HR team on basic HR questions
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Q1. With Co-founder to introduce and check you
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Q1. Advance Excel (Vlookup, Index, Countifs, sumifs and others)
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Q2. Python Basics (data frame, data types, lamda, series etc)
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Q3. SQL Functions (joins, limits, partitions, orders by and group by)
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Q4. 3rd round was managerial round, where mostly non-technicial questions asked.
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