Anko Lead Data Scientist Interview Questions and Answers

Practice data structures and algorithms questions in general.

General aptitude questions were asked practice them

45 mins and too many technical questions

Too many technical questions

Basic SQL and tableau questions

Q1. How do you work in a team?
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I collaborate effectively in teams by communicating openly, sharing insights, and leveraging diverse skills to achieve common goals.
• Open Communication: I encourage team members to share their ideas and feedback, fostering an environment where everyone feels valued. For example, during a recent project, I organized regular check-ins to discuss progress and challenges.

• Role Clarity: I believe in defining roles and respons...read more
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Write a a python code to reverse string without slicing.

Pandas, python, SQL based questions

Q1. Pandas, python, sql, business case study and logical reasoning
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Q1. Limitations of Vlookup
Ans. 
Vlookup limitations include limited search range, case sensitivity, and inability to handle multiple matches.
• Vlookup only searches for values in the leftmost column of the table array

• It is case sensitive and cannot handle spelling errors

• It only returns the first match and cannot handle multiple matches

• It cannot search for values to the left of the lookup column

• It can be slow and inefficient for large datasets
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Q2. Vlookup vs Index-Match
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Vlookup and Index-Match are both Excel functions used for lookup and retrieval of data.
• Vlookup is simpler and faster but has limitations in terms of flexibility and handling of large datasets.

• Index-Match is more versatile and can handle complex data structures but is slower and requires more effort to set up.

• Vlookup is best suited for simple lookups with small datasets while Index-Match is better for more complex looku...read more
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Q3. Define Excel Functions Sum , Sum if , Count , CountA , Count Blanks
Ans. 
Excel functions are pre-built formulas that perform calculations or manipulate data in a spreadsheet.
• Sum: adds up a range of numbers

• Sum if: adds up a range of numbers based on a specified condition

• Count: counts the number of cells in a range that contain numbers

• CountA: counts the number of cells in a range that are not empty

• Count Blanks: counts the number of empty cells in a range
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Q4. Limitations of Structural Query Language
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SQL limitations include lack of scalability, security vulnerabilities, and difficulty in handling unstructured data.
• SQL is not suitable for handling unstructured data like images, videos, and audio files.

• It can be difficult to scale SQL databases to handle large amounts of data.

• SQL databases can be vulnerable to security threats like SQL injection attacks.

• SQL is not always the best choice for real-time data processing ...read more
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Q5. Write code to find duplicate Records.
Ans. 
Code to find duplicate records
• Identify the key columns to check for duplicates

• Use GROUP BY and HAVING clauses to filter out duplicates

• Consider using window functions like ROW_NUMBER() to identify and remove duplicates

• Use programming languages like SQL, Python, or R to write the code
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Q6. Write code to describe database and Columns from a particular table
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Code to describe database and columns from a table
• Use SQL SELECT statement to retrieve column names and data types

• Use DESC command to get table structure

• Use INFORMATION_SCHEMA.COLUMNS to get detailed information about columns

• Use SHOW CREATE TABLE to get table creation statement
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Q7. What is trigger in SQL?
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Q8. What is the use if store procedure ?
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Stored procedures are precompiled SQL statements that can be reused and executed multiple times.
• Stored procedures improve performance by reducing network traffic and improving security.

• They can be used to encapsulate business logic and provide a consistent interface to the database.

• Stored procedures can also be used to simplify complex queries and transactions.

• Examples include procedures for inserting, updating, and de...read more
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Q1. How you get your data in your organization
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Q2. What type of challenges you face in your day today work
Ans. 
As a data analyst, I face challenges such as data quality issues, incomplete or inconsistent data, and time constraints.
• Data quality issues: Dealing with missing or inaccurate data that can affect the analysis.

• Incomplete or inconsistent data: Working with datasets that are not complete or have inconsistencies, requiring data cleaning and manipulation.

• Time constraints: Balancing multiple projects and deadlines, often ne...read more
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Q3. Sequence of Execution of SQL codes. Select - Where-from-Having- order by etc
Ans. 
The sequence of execution of SQL codes is Select-From-Where-Group By-Having-Order By.
• Select: choose the columns to display

• From: specify the table(s) to retrieve data from

• Where: filter the data based on conditions

• Group By: group the data based on a column

• Having: filter the grouped data based on conditions

• Order By: sort the data based on a column
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Q4. Difference between having and where clause
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Q5. Difference between CSV file and Excel file
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CSV files are plain text files that store tabular data, while Excel files are binary files that can contain multiple sheets and complex formatting.
• CSV files are simpler and more lightweight compared to Excel files.

• CSV files can be easily opened and edited using a text editor, while Excel files require specific software like Microsoft Excel.

• CSV files do not support formulas, macros, or formatting options like colors and...read more
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Q6. How much amount of data you Handel till now.
Ans. 
I have handled large amounts of data in my previous roles.
• I have experience handling terabytes of data in my previous role as a data analyst at XYZ company.

• I have worked with data from various sources such as databases, spreadsheets, and APIs.

• I have also used tools like SQL, Python, and Excel to manipulate and analyze data.

• I am comfortable working with both structured and unstructured data.

• I have experience cleaning an...read more
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Q7. What are the different approach you use for data cleaning.
Ans. 
Different approaches for data cleaning include removing duplicates, handling missing values, correcting inconsistent data, and standardizing formats.
• Remove duplicates

• Handle missing values

• Correct inconsistent data

• Standardize formats

• Use statistical methods to identify outliers

• Check for data accuracy and completeness

• Normalize data

• Transform data types

• Apply data validation rules
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Q1. Average totals for last 3 months
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Q2. Running totals in a year using dax
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