Tessolve Semiconductor Senior Data Analyst Interview Questions and Answers

Basics of mathematical ability and verbal ability

Q1. Introduction - explain projects
Ans. 
I have worked on various data analysis projects involving market research, customer segmentation, and predictive modeling.
• Market research project involved analyzing customer demographics and preferences to identify target markets.

• Customer segmentation project focused on dividing customers into distinct groups based on behavior and characteristics.

• Predictive modeling project used historical data to forecast future trend...read more
Answered by AI
Add your answer
Q2. Data analytics explain
Ans. 
Data analytics is the process of analyzing raw data to draw conclusions and make informed decisions.
• Data analytics involves collecting, cleaning, and transforming data into insights.

• It uses statistical analysis, machine learning, and data visualization techniques.

• Examples include analyzing sales data to identify trends, predicting customer behavior, and optimizing marketing campaigns.
Answered by AI
Add your answer

Q1. Previous experience
Add your answer

Q1. Functions in SQL Linear Regression
Ans. 
Functions in SQL are used to perform specific tasks on the data stored in a database.
• SQL functions can be used to manipulate data, perform calculations, and retrieve specific information from a database.

• Common SQL functions include aggregate functions (e.g., SUM, AVG), string functions (e.g., CONCAT, SUBSTRING), and date functions (e.g., DATEPART, GETDATE).

• Functions can be used in SELECT statements, WHERE clauses, and ...read more
Answered by AI
Add your answer
Q2. Machine Learning
Add your answer
Q3. Transformations in Informatica
Ans. 
Transformations in Informatica are used to manipulate and modify data during the ETL process.
• Transformations are used to filter, aggregate, join, and sort data.

• Examples of transformations include Filter, Aggregator, Joiner, and Sorter.

• Transformations can be used to perform calculations, data cleansing, and data validation.

• They can also be used to create new columns, merge data from multiple sources, and split data into
Answered by AI
Add your answer
Q4. Power BI Basic questions
Add your answer

Q1. Tell me yourself
Ans. 
Experienced data analyst with a background in statistics and programming.
• I have a Bachelor's degree in Statistics and a Master's degree in Data Science.

• I am proficient in programming languages such as Python, R, and SQL.

• I have experience working with large datasets and conducting statistical analysis.

• I have strong problem-solving skills and attention to detail.

• I have worked on projects involving data visualization and
Answered by AI
Add your answer
Q2. Are you Relocate
Add your answer

Q1. Shuffle and merge in Haddop
Ans. 
Shuffle and merge are key processes in Hadoop for distributing data across nodes and combining results.
• Shuffle is the process of transferring data from mappers to reducers in Hadoop.

• Merge is the process of combining the output from multiple reducers into a single result.

• Shuffle and merge are essential for parallel processing and efficient data analysis in Hadoop.

• Example: In a word count job, shuffle will group words by...read more
Answered by AI
Add your answer

Q1. Why this company?
Add your answer

They conduct written test

Q1. Asking questions like ur skills and qualification
Add your answer
Q2. Which option u prefer quality or ontime delivery
Add your answer

Q1. Asking about ur capabilities
Add your answer