InSync Analytics Data Analyst Interview Questions and Answers

Q1. We need to complete 40 questions in 20 mins
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Basic Leetcode Questions

Q1. Basic NLP Questions
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Q2. What is IF-IDF and why used?
Ans. 
IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
• IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.

• It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.

• IF-IDF helps in identifying the most relevant words in ...read more
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Q3. Word Embedding?
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Q1. API and production level questions
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Duration was around 105 minutes
aptitude, python and java were sections in this round

Q1. What are the languages based in sql
Ans. 
Languages based in SQL include T-SQL, PL/SQL, and SQL/PSM.
• T-SQL (Transact-SQL) is Microsoft's proprietary extension to SQL used in SQL Server.

• PL/SQL (Procedural Language/SQL) is Oracle's procedural language extension to SQL.

• SQL/PSM (SQL/Persistent Stored Modules) is a standard for defining stored procedures and functions in SQL.
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Q2. What do you understand by oops concepts
Ans. 
Object-oriented programming concepts that focus on classes and objects
• Encapsulation: bundling data and methods that operate on the data within a single unit

• Inheritance: ability of a class to inherit properties and behavior from another class

• Polymorphism: ability to present the same interface for different data types

• Abstraction: hiding the complex implementation details and showing only the necessary features
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Q3. Sql queries was asked to find the second highest salary
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Q4. Java string question based on manipulation
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Q1. Tell me about yourself
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Q2. What are the projects that you have done
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Q3. What are your hobbies and interest and what were your achievement in your school life and college life and was asked about the background check focused on candidate's qualities
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Q1. Advanced Excel questions
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Q2. SPSS and python
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50 questions 12 mins

Q1. Quant based questions (P&C,Averages,probability) followed by case study
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Q1. General details and get to know questions.
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Q1. Basics of statistics and Machine learning model
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Q1. Machine learning model in detail
Ans. 
Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
• Machine learning models are trained on large datasets to identify patterns and relationships.

• There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.

• Supervised learning models are trained on labeled data to make predictions on ne...read more
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Q1. Behavioural questiona and bit of machine learning
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Q1. Question regarding skill set
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Q2. How does vlookup work
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