Sales Point Data Analyst Intern Interview Questions and Answers

Time series and regression

Queries and commands

It was a training+ internship

Q1. NUmber of groups and group wise projects
Add your answer

Aptitude test was the basics asked in every exam

Q1. What is difference between 4stroke and 2 stroke engine?
Ans. 
4-stroke engines have 4 strokes per cycle, while 2-stroke engines have 2 strokes per cycle.
• 4-stroke engines are more fuel-efficient and produce less pollution than 2-stroke engines.

• 2-stroke engines are simpler and lighter than 4-stroke engines.

• 4-stroke engines have separate intake, compression, power, and exhaust strokes, while 2-stroke engines combine intake and compression, and power and exhaust strokes.

• Examples of 4...read more
Answered by AI
Add your answer
Q2. What is a bevel gear? Give an example
Ans. 
A bevel gear is a type of gear used to transmit power between shafts at an angle.
• Bevel gears have conical shapes and are used to change the direction of rotation.

• They are commonly used in automobiles, airplanes, and power plants.

• An example of a bevel gear is the ring and pinion gear in a car's differential.

• Another example is the bevel gear used in a hand drill to transmit power from the motor to the chuck.
Answered by AI
Add your answer

Q1. Resume screening Self introduction Roles and responsibilities
Add your answer

Given task Statics standard deviations Attrition Average of given table values and Given graph economi graph and poverty graph base on that need to gave answers 30 qustion and 60 min time duration

Q1. Versant test should be need to attend Hirepro will have interview prosess in YouTube will check and prepare mid level hard
Add your answer
Q2. We can goo for online prosess how it is
Add your answer

Q1. Manger Level round they will ask KPI NPS AHT standard deviations Service Level handling Root cause Analysis Weighted average Same product how will calculate Totall Swer % how will get Many of like bpi <20 ...read more
Add your answer

Q1. Salary discussion and update structure of our role and responsibilities
Add your answer

Q1. What about your self?
Add your answer
Q2. Family background
Add your answer
Q3. Power BI test and advanced excel
Add your answer
Q4. Microsoft access test
Add your answer
Q5. Python test and One to one discussion with super boss
Add your answer

There were verbal, non verbal, reasoning , English and maths questions

Q1. Tell me about your project.
Ans. 
I worked on a project analyzing customer behavior using machine learning algorithms.
• Used Python for data preprocessing and analysis

• Implemented machine learning models such as decision trees and logistic regression

• Performed feature engineering to improve model performance
Answered by AI
Add your answer
Q2. What programming knowledge you have ?
Ans. 
Proficient in Python, R, and SQL with experience in data manipulation, visualization, and machine learning algorithms.
• Proficient in Python for data analysis and machine learning tasks

• Experience with R for statistical analysis and visualization

• Knowledge of SQL for querying databases and extracting data

• Familiarity with libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn
Answered by AI
Add your answer

Q1. Where do you stay ?
Ans. 
I currently stay in an apartment in downtown area.
• I stay in an apartment in downtown area

• My current residence is in a city

• I live close to my workplace
Answered by AI
Add your answer
Q2. Tell me about you
Ans. 
I am a data science enthusiast with a strong background in statistics and machine learning.
• Background in statistics and machine learning

• Passionate about data science

• Experience with data analysis tools like Python and R
Answered by AI
Add your answer

Q1. Project related questions from your CV
Add your answer

Q1. Question on transformers
Add your answer
Q2. Comparison of transfer learning and fintuning.
Ans. 
Transfer learning involves using pre-trained models on a different task, while fine-tuning involves further training a pre-trained model on a specific task.
• Transfer learning uses knowledge gained from one task to improve learning on a different task.

• Fine-tuning involves adjusting the parameters of a pre-trained model to better fit a specific task.

• Transfer learning is faster and requires less data compared to training a...read more
Answered by AI
Add your answer