Research Connect 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
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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
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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.
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Q1. What about your self?
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Q2. Family background
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Q3. Power BI test and advanced excel
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Q4. Microsoft access test
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Q5. Python test and One to one discussion with super boss
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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
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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
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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
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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
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Q1. Project related questions from your CV
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Q1. Question on transformers
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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
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Q1. SQL and pandas coding
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Q2. Resume projects deep dive
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