STS Infotechnologies India Data Analyst Interview Questions and Answers

Q1. I have finished Btech in Cse AI&ML taken datascience course looking for job
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NLP is my favorite subject. Is relatated medical and sign language. I have done reseach with mechien learning and AI TOOLS used for problem solving approach.

A group discussion was conducted on data-based management regarding Mr. Adani's food industry products in the state of Gujarat and their exports to other countries, utilizing data analytics.

Sql python bigdata hadoop hive spark

1 hour simple coding python sql

Q1. Advantages of sql
Ans. 
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
• SQL is widely used in querying databases to retrieve specific data.

• It allows for data manipulation, such as adding, updating, and deleting records.

• SQL can perform complex data analysis tasks, such as aggregations and joins.

• It provides a standardized language for interacting with relational databases.

• SQL is essential for generati...read more
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Q2. Advantages of python
Ans. 
Python is a versatile programming language known for its simplicity, readability, and vast library support.
• Easy to learn and use, making it ideal for beginners and experienced programmers alike

• Extensive library support for data analysis, machine learning, web development, and more

• Strong community support with active forums and resources for problem-solving

• Cross-platform compatibility allows for seamless integration wit...read more
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Q3. Spark and its benefits
Ans. 
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
• Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.

• It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.

• Spark is versatile, supporting various workloads such as batch proces...read more
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Q4. Why to leave the company
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Q5. Huddles of data engineer
Ans. 
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
• Huddles are typically informal and can be scheduled or ad-hoc.

• They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.

• Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.

• Effective huddles promo...read more
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Q1. Python and sql related question
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Q1. Pandas numpy visualisation sql
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Alteryx data processing and reporting

Basic questions can be attempted easily

2 coding questions edge cases were hard to find

Q1. Resume based questions and project idea breifing
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Q2. Have any questions for interviewer
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Q1. Load data from hdfs using python
Ans. 
Use PyArrow library to load data from HDFS in Python
• Install PyArrow library using pip install pyarrow

• Use pyarrow.hdfs.connect to connect to HDFS

• Use pyarrow.parquet.read_table to read data from HDFS
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Q2. Query to find the top three salaried employees of each department
Ans. 
Query to find the top three salaried employees of each department
• Use a SQL query with a window function like ROW_NUMBER() to rank employees within each department based on salary

• Partition the data by department and order by salary in descending order

• Filter the results to only include rows where the row number is less than or equal to 3
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Q1. Tableau, SQL related question
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Q1. Tell me about your self
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Q2. If experienced, then Tell me about your previous job role and responsibilities of previous job role.
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Q3. Tell me about your resume.
Ans. 
My resume showcases my experience in data analysis, including proficiency in SQL, Python, and data visualization tools.
• Proficient in SQL for data querying and manipulation

• Skilled in Python for data analysis and automation

• Experience with data visualization tools like Tableau and Power BI

• Strong analytical and problem-solving skills

• Previous projects include analyzing sales data to identify trends and patterns
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Q4. Tell me about your memorable Moment of life.
Ans. 
My memorable moment was when I graduated from college.
• Graduating from college after years of hard work

• Celebrating with family and friends

• Feeling a sense of accomplishment and pride
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Q1. Introduction about our self
Ans. 
I am a data analyst with 5 years of experience in analyzing and interpreting complex data sets to drive business decisions.
• I have a strong background in statistical analysis and data visualization techniques.

• Proficient in SQL, Python, and Tableau for data manipulation and reporting.

• Experience in developing predictive models and conducting A/B testing to optimize marketing strategies.
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Q2. Complete discussion about projects
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