Fractal Analytics Data Scientist Interview Questions and Answers for Freshers

Q1. Explain Overfitting
Add your answer
Q2. More values in training set than test set
Add your answer

Basic python sql questions, mcq based and coding questions.

Q1. They asked the projects which I am working on and had discussion on the same. Asked few statistical questions like boxplots and normal distribution. Also asked basic questions on advance SQL
Add your answer

Q1. Problem solving questions. Gave a case study to check presence of mind
Add your answer

Q1. Basic salary discussion
Add your answer

Python coding and sql coding

Q1. List all the string which start with 'a'
Ans. 
List of strings starting with 'a'
• Use a loop to iterate through each string

• Check if each string starts with 'a'

• Add the string to the list if it starts with 'a'
Answered by AI
Add your answer
Q2. Find out max value from the given table
Ans. 
Use SQL query to find max value from a table
• Use SQL query SELECT MAX(column_name) FROM table_name;

• For example, SELECT MAX(salary) FROM employees;

• Ensure proper column name and table name are used in the query
Answered by AI
Add your answer

Q1. What is Overfitting in decision tree
Ans. 
Overfitting in decision trees occurs when the model learns noise in the training data rather than the underlying pattern.
• Overfitting happens when the decision tree is too complex and captures noise in the training data.

• It leads to poor generalization on unseen data, as the model is too specific to the training set.

• To prevent overfitting, techniques like pruning, setting a minimum number of samples per leaf, or using en
Answered by AI
Add your answer
Q2. What is bagging
Ans. 
Bagging is a machine learning ensemble technique where multiple models are trained on different subsets of the training data and their predictions are combined.
• Bagging stands for Bootstrap Aggregating.

• It helps reduce overfitting by combining the predictions of multiple models.

• Random Forest is a popular algorithm that uses bagging by training multiple decision trees on random subsets of the data.
Answered by AI
Add your answer
Q3. What is neuron How its used in DL
Ans. 
A neuron is a basic unit of a neural network that receives input, processes it, and produces an output.
• Neurons are inspired by biological neurons in the human brain.

• They receive input signals, apply weights to them, sum them up, and pass the result through an activation function.

• Neurons are organized in layers in a neural network, with each layer performing specific tasks.

• In deep learning, multiple layers of neurons ar...read more
Answered by AI
Add your answer

Time and work, time and distance, percentages, data interpretation

Business case study - increase revenue for museum

Q1. Common machine learning algorithms, statistical concepts, projects mentioned in resume
Add your answer

Q1. Management round, behavioral questions were asked.
Add your answer
Q2. Why Mathcompany?, what if your current company offers more pay?
Add your answer

The questions asked were very easy and easy to solve.

Q1. The questions asked from the project itself. My project was on NLP so they asked lemmatizing, tokenization etc., and some of the basic SQL questions.
Add your answer

This was a fitment round they ask questions from the project if you have done any otherwise the case studies.

Q1. As i was a freshwr so they asked questions about the interviews have done so far.
Add your answer

Q1. 1 case study, mine was if a new resstraunt is opened how would i bring in the customers 2 pyhton,list,tuple and datafram related 5 to 10 question simple name changing lambada and all 3 sql oral question dd...read more
Add your answer
Q2. Interview 3 - case study similar to the one above but here i had to associate it with a ml algo to explain the answer
Add your answer