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Interview_Guide (Data Science & Development Job Roles).pdf
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If you are preparing for Big companies like Mircosoft, Apple, Meta, Google etc then check out this guide.
It contains Interview stages and Questions for data science and development roles for these top companies.
It contains Interview stages and Questions for data science and development roles for these top companies.
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All The Best 💙
Company : Gigafactor Solutions
Role: Data Analyst Intern
Exp: Fresher
Apply now - https://www.linkedin.com/jobs/view/4130025351
Company : Sundew
Role: Market Research Analyst
Exp: 1+ Years
Apply now - https://www.linkedin.com/jobs/view/4115927057
Company : Appinventiv
Role: Data Analyst
Exp: 1+ Years
Apply now - https://www.linkedin.com/jobs/view/4127265891
Company : Accobridge Solutions
Role: Python Developer
Exp: 1+ Years
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Company : GEP Worldwide
Role: Data Scientist-AI
Exp: 1+ Years
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Company : PWC
Role: Data Engineer-Specialist-Operate
Exp: 1+ years
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Company : eClerx
Role: Senior Analyst - Campaign Operations
Exp: 2+years
Apply now - https://www.linkedin.com/jobs/view/3682016856
Company : Saks
Role: Marketing Analyst
Exp: 2+ Years
Apply now - https://www.linkedin.com/jobs/view/4101129756
Company : Allstate
Role: Data Scientist Consultant
Exp: 2+ Years
Apply now - https://www.linkedin.com/jobs/view/4127285125
Company : Turning
Role: Data Scientist
Exp: 2+ Years
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❤1
Date: 20-01-2025
Company name: Hitachi
Role: SQL Developer
Topic: subsets, Pattern, Relationship, Stored Procedure
1. What are the different subsets of SQL?
Data Definition Language (DDL) – It allows you to perform various operations on the database such as CREATE, ALTER, and DELETE objects.
Data Manipulation Language(DML) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database.
Data Control Language(DCL) – It allows you to control access to the database. Example – Grant, Revoke access permissions.
2. List the different types of relationships in SQL.
There are different types of relations in the database:
One-to-One – This is a connection between two tables in which each record in one table corresponds to the maximum of one record in the other.
One-to-Many and Many-to-One – This is the most frequent connection, in which a record in one table is linked to several records in another.
Many-to-Many – This is used when defining a relationship that requires several instances on each sides.
Self-Referencing Relationships – When a table has to declare a connection with itself, this is the method to employ.
3. What is a Stored Procedure?
A stored procedure is a subroutine available to applications that access a relational database management system (RDBMS). Such procedures are stored in the database data dictionary. The sole disadvantage of stored procedure is that it can be executed nowhere except in the database and occupies more memory in the database server.
4. What is Pattern Matching in SQL?
SQL pattern matching provides for pattern search in data if you have no clue as to what that word should be. This kind of SQL query uses wildcards to match a string pattern, rather than writing the exact word. The LIKE operator is used in conjunction with SQL Wildcards to fetch the required information.
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Company name: Hitachi
Role: SQL Developer
Topic: subsets, Pattern, Relationship, Stored Procedure
1. What are the different subsets of SQL?
Data Definition Language (DDL) – It allows you to perform various operations on the database such as CREATE, ALTER, and DELETE objects.
Data Manipulation Language(DML) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database.
Data Control Language(DCL) – It allows you to control access to the database. Example – Grant, Revoke access permissions.
2. List the different types of relationships in SQL.
There are different types of relations in the database:
One-to-One – This is a connection between two tables in which each record in one table corresponds to the maximum of one record in the other.
One-to-Many and Many-to-One – This is the most frequent connection, in which a record in one table is linked to several records in another.
Many-to-Many – This is used when defining a relationship that requires several instances on each sides.
Self-Referencing Relationships – When a table has to declare a connection with itself, this is the method to employ.
3. What is a Stored Procedure?
A stored procedure is a subroutine available to applications that access a relational database management system (RDBMS). Such procedures are stored in the database data dictionary. The sole disadvantage of stored procedure is that it can be executed nowhere except in the database and occupies more memory in the database server.
4. What is Pattern Matching in SQL?
SQL pattern matching provides for pattern search in data if you have no clue as to what that word should be. This kind of SQL query uses wildcards to match a string pattern, rather than writing the exact word. The LIKE operator is used in conjunction with SQL Wildcards to fetch the required information.
————————————————————
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Date: 23-01-2025
Company name: Accenture
Role: Data Scientist
01. What do you understand by the term silhouette coefficient?
Answer- The silhouette coefficient is a measure of how well clustered together a data point is with respect to the other points in its cluster. It is a measure of how similar a point is to the points in its own cluster, and how dissimilar it is to the points in other clusters. The silhouette coefficient ranges from -1 to 1, with 1 being the best possible score and -1 being the worst possible score.
02. What is the difference between trend and seasonality in time series?
Answer- Trends and seasonality are two characteristics of time series metrics that break many models. Trends are continuous increases or decreases in a metric’s value. Seasonality, on the other hand, reflects periodic (cyclical) patterns that occur in a system, usually rising above a baseline and then decreasing again.
03. What is a Self-Join?
Answer- A self-join is a type of join that can be used to connect two tables. As a result, it is a unary relationship. Each row of the table is attached to itself and all other rows of the same table in a self-join. As a result, a self-join is mostly used to combine and compare rows from the same database table.
04. What are recursive cte, are they available in MYSQL workbench?
Answer- A recursive CTE references itself. It returns the result subset, then it repeatedly (recursively) references itself, and stops when it returns all the results. Yes they are available in MYSQL workbench.
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Company name: Accenture
Role: Data Scientist
01. What do you understand by the term silhouette coefficient?
Answer- The silhouette coefficient is a measure of how well clustered together a data point is with respect to the other points in its cluster. It is a measure of how similar a point is to the points in its own cluster, and how dissimilar it is to the points in other clusters. The silhouette coefficient ranges from -1 to 1, with 1 being the best possible score and -1 being the worst possible score.
02. What is the difference between trend and seasonality in time series?
Answer- Trends and seasonality are two characteristics of time series metrics that break many models. Trends are continuous increases or decreases in a metric’s value. Seasonality, on the other hand, reflects periodic (cyclical) patterns that occur in a system, usually rising above a baseline and then decreasing again.
03. What is a Self-Join?
Answer- A self-join is a type of join that can be used to connect two tables. As a result, it is a unary relationship. Each row of the table is attached to itself and all other rows of the same table in a self-join. As a result, a self-join is mostly used to combine and compare rows from the same database table.
04. What are recursive cte, are they available in MYSQL workbench?
Answer- A recursive CTE references itself. It returns the result subset, then it repeatedly (recursively) references itself, and stops when it returns all the results. Yes they are available in MYSQL workbench.
————————————————————
Make Your Career In Data Science Domain with our Industry-Oriented Hands-on Course @ Most Affordable Price 🤩
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Company : Internkaksha IT Solutions
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All The Best 💙
❤2
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Role: Sr. Business Analyst
Exp: 1+ Years
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Exp: 1+ years
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All The Best 💙
❤3🔥1
Date: 29-01-2025
Company name: Elica
Role: Data Scientist
01. How are KNN and K-means clustering different?
Answer- Firstly, KNN is a supervised learning algorithm. In order to train this algorithm, we require labeled data. K-means is an unsupervised learning algorithm that looks for patterns that are intrinsic to the data. The K in KNN is the number of nearest data points. On the contrary, the K in K-means specify the number of centroids.
02. What is a confusion matrix?
Answer- A confusion matrix is a table that delineates the performance of a supervised learning algorithm. It provides a summary of prediction results on a classification problem. With the help of a confusion matrix, you can not only find the errors made by the predictor but also the type of errors.
03. How is Hadoop used in Data Science?
Answer- Hadoop provides the data scientists the ability to deal with large scale unstructured data. Furthermore, various new extensions of Hadoop like Mahout and PIG provide various features to analyze and implement machine learning algorithms on large scale data. This makes Hadoop a comprehensive system that is capable of handling all forms of data, making it an ideal suite for data scientists.
04. If your Time-Series Dataset is very long, what architecture would you use?
Answer- If the dataset for time-series is very long, LSTMs are ideal for it because it can not only process single data points, but also entire sequences of data. A time-series being a sequence of data makes LSTM ideal for it.For an even stronger representational capacity, making the LSTM's multi-layered is better.Another method for long time-series dataset is to use CNNs to extract information.
————————————————————
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Company name: Elica
Role: Data Scientist
01. How are KNN and K-means clustering different?
Answer- Firstly, KNN is a supervised learning algorithm. In order to train this algorithm, we require labeled data. K-means is an unsupervised learning algorithm that looks for patterns that are intrinsic to the data. The K in KNN is the number of nearest data points. On the contrary, the K in K-means specify the number of centroids.
02. What is a confusion matrix?
Answer- A confusion matrix is a table that delineates the performance of a supervised learning algorithm. It provides a summary of prediction results on a classification problem. With the help of a confusion matrix, you can not only find the errors made by the predictor but also the type of errors.
03. How is Hadoop used in Data Science?
Answer- Hadoop provides the data scientists the ability to deal with large scale unstructured data. Furthermore, various new extensions of Hadoop like Mahout and PIG provide various features to analyze and implement machine learning algorithms on large scale data. This makes Hadoop a comprehensive system that is capable of handling all forms of data, making it an ideal suite for data scientists.
04. If your Time-Series Dataset is very long, what architecture would you use?
Answer- If the dataset for time-series is very long, LSTMs are ideal for it because it can not only process single data points, but also entire sequences of data. A time-series being a sequence of data makes LSTM ideal for it.For an even stronger representational capacity, making the LSTM's multi-layered is better.Another method for long time-series dataset is to use CNNs to extract information.
————————————————————
Make Your Career In Data Science Domain with our Industry-Oriented Hands-on Course @ Most Affordable Price 🤩
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❤6