Dish Network Lead Data Scientist Interview Questions and Answers

Easy Aptitude and SQL questions

Q1. Guesstimate question
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Q2. SQL Joins and DSA
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Q1. Difference between joins
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Joins are used to combine rows from two or more tables based on a related column between them.
• Inner Join: Returns rows when there is a match in both 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 Outer Join: Returns rows when there is a match in one of the tables.

• Cross Join:
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Q2. Window function
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Q1. Write sql query in pythons
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Writing SQL queries in Python allows for seamless integration of data analysis and manipulation.
• Use libraries like pandas or sqlalchemy to execute SQL queries in Python

• Remember to establish a connection to the database before executing queries

• Utilize Python's flexibility to manipulate and analyze data retrieved from SQL queries
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Q1. Good interview with no mistakes.
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Q2. Why you want to work with us ?
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I want to work with you because of your reputation in the industry and the exciting opportunities for growth and learning.
• I am impressed by your company's reputation in the industry and the positive feedback I have heard from current and former employees.

• Your organization offers a dynamic and challenging work environment, which aligns with my career goals and aspirations.

• I am excited about the opportunity to work with ...read more
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Q1. Qualification of my degree
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Q2. My personal skills for company
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Q1. Could you elaborate on your roles and responsibilities in your previous employment?
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In my previous role, I was responsible for analyzing data, creating reports, and providing insights to support decision-making.
• Performed data cleaning, transformation, and analysis using tools like Excel, SQL, and Python.

• Generated reports and dashboards to visualize data trends and patterns.

• Collaborated with cross-functional teams to identify key metrics and KPIs for business performance.

• Presented findings and recommen...read more
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Q2. What was your role in the project, specifically related to data transformation and dashboard creation?
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I was responsible for data cleaning, transformation, and visualization to create interactive dashboards for stakeholders.
• Performed data cleaning and transformation to ensure accuracy and consistency of data

• Utilized tools like SQL, Python, and Tableau to manipulate and visualize data

• Collaborated with stakeholders to understand their requirements and design interactive dashboards

• Generated insights from data analysis to d
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Q3. How do you optimize and manage large datasets, and what data sources do you utilize to obtain this data?
Ans. 
I optimize and manage large datasets by using tools like SQL, Python, and Excel. I utilize various data sources such as databases, APIs, and web scraping.
• Utilize SQL queries to efficiently extract and manipulate data from databases

• Use Python for data cleaning, analysis, and visualization tasks

• Leverage Excel for organizing and summarizing data in a user-friendly format

• Obtain data from sources like internal databases, ex
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Q4. Guesstimates like how many traffic signals are there in Noida.
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There are approximately 500-600 traffic signals in Noida.
• Estimate based on the size and population of Noida

• Consider the number of major intersections and roads in the city

• Take into account the traffic density and need for traffic management

• Consult local traffic authorities for more accurate data
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Q5. The interviewer asked SQL questions related to window functions, joins, and advanced aggregations, such as running sum and rolling sum.
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Q1. Second round is also a technical round and similar to first round . Medium to high level sql questions and questions related to the project you're working on and Guesstimates will be asked by the interview...read more
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Q1. Project manager will take the third round interview and inquire about your knowledge of the company, and some technical and scenario-based questions related to decision-making and problem-solving approach.
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Q1. Final round will be an HR round.
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Logical Reasoning ,Aptitude and English

Current affairs, Leadership topics

Q1. On new technologies
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Q1. Questions about relocation
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Q1. How is data analysis different from data mining? What is data cleansing? Why is it important? What do data analysts do when they are faced with missing or duplicate data?
Ans. 
Data analysis involves interpreting data to gain insights, while data mining focuses on discovering patterns and relationships in large datasets.
• Data analysis involves interpreting data to extract meaningful insights and make informed decisions.

• Data mining involves using algorithms to discover patterns and relationships in large datasets.

• Data cleansing is the process of detecting and correcting errors or inconsistencie...read more
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Q1. How proficient are you in using spreadsheet programs to compile and organize data? What have you used your data for in past positions? Have you ever had to lead an investigation? What was the topic, why wa...read more
Ans. 
I am highly proficient in using spreadsheet programs to compile and organize data.
• I have used spreadsheet programs extensively to compile and organize data in past positions.

• For example, I have used Excel to analyze sales data and create reports for management.

• I have also used Google Sheets to track project progress and budget expenses.

• In one position, I used spreadsheets to analyze customer feedback and identify trend...read more
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