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Fractal Analytics Decision Scientist Interview Questions and Answers
Fractal Analytics Decision Scientist Interview Experiences
8 interviews found
Anonymous
SQL rank dense rank random forest
Selected
I was interviewed before Jan 2024.
Simple sql questions were asked
(1 Question)
- Q1. Case study questions were given and tested
Selected
I applied via Campus Placement and was interviewed before Jun 2023. There were 4 interview rounds.
SQL,apti and english
(1 Question)
- Q1. Ml and data science related questions
(1 Question)
- Q1. This was business round come technical round by one of senior consultant.
(1 Question)
- Q1. More HR and personality related questions, situation handling questions
Selected
I applied via LinkedIn and was interviewed before May 2023. There were 3 interview rounds.
Python, SQL and ML Mcq and coding questions
(1 Question)
- Q1. ML fundamentals, case study and scenario based question
(1 Question)
- Q1. Managerial interview. Previous experience and compatibility check
Fractal Analytics interview questions for designations
Selected
I applied via campus placement at Thapar Institute of Engineering and Technology (TIET) and was interviewed before Apr 2023. There were 2 interview rounds.
General verbal and non verbal reasoning
Quantitative aptitude
(1 Question)
- Q1. Basic questions around SQL , Python and machine learning
MEHUL KUMAR DAS
Selected
I applied via Indeed and was interviewed before Feb 2022. There were 3 interview rounds.
(1 Question)
- Q1. Questions on SQL and Tableau
(1 Question)
- Q1. Salary negotiation took place with the HR
Interview Preparation Tips
I applied via LinkedIn and was interviewed before Nov 2021. There were 5 interview rounds.
SQL and Python coding questions, SQL mostly based on multiple joins
(2 Questions)
- Q1. Questions based on work ex and SQL and Python
- Q2. Questions based on normalization
(1 Question)
- Q1. Managerial round- Behavioral questions and some technical questions
(1 Question)
- Q1. Why do you want to join the organisation? other behavioral questions
Interview Preparation Tips
I applied via Company Website and was interviewed before Feb 2021. There were 4 interview rounds.
This was a SQL test. 8 questions where asked and needed to clear all of them to move to next round.
The questions were of intermediate level. Duration 1 hour 30 mins.
This was a data science objective test. 35 questions were asked. The Questions were of intermediate level. Duration : 1 hour 30 mins
(1 Question)
- Q1. Questions were all project based. Metrics for calculating regression and classification. Explain each one of them based on a case study.
(4 Questions)
- Q1. Why are you looking for a change?
- Q2. Share details of your previous job.
- Q3. What are your salary expectations?
- Q4. Tell me about yourself.
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
Selected
(3 Questions)
- 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
- 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.
- 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...
Skills evaluated in this interview
I applied via Campus Placement and was interviewed in Aug 2024. There were 4 interview rounds.
It was having basic aptitude questions
(2 Questions)
- Q1. They asked basic english question
- Q2. And alos topic was provided so we had to speak on it.
(2 Questions)
- Q1. SQL syntax and difference between having and where clause
- Ans.
HAVING clause is used with GROUP BY to filter grouped rows, WHERE clause is used to filter individual rows.
HAVING clause is used with GROUP BY to filter grouped rows based on aggregate functions
WHERE clause is used to filter individual rows based on conditions
HAVING clause is applied after GROUP BY, WHERE clause is applied before GROUP BY
HAVING clause can only be used with SELECT statement that contains a GROUP BY clau
- Q2. Difference between array and linkedlist,stack and queue
- Ans.
Arrays store elements in contiguous memory, while linked lists use nodes with pointers. Stacks follow LIFO, queues follow FIFO.
Arrays store elements in contiguous memory locations, allowing for constant time access to elements using indices.
Linked lists use nodes with pointers to the next node, allowing for dynamic memory allocation and insertion/deletion at any position.
Stacks follow Last In First Out (LIFO) principle...
(2 Questions)
- Q1. Tell me about your self
- Ans.
I am a data science enthusiast with a strong background in statistics and machine learning.
Completed coursework in data analysis, statistical modeling, and predictive analytics
Proficient in programming languages such as Python, R, and SQL
Experience with data visualization tools like Tableau and Power BI
Worked on projects involving regression analysis, clustering, and classification algorithms
- Q2. Why you want to join this role
- Ans.
I am passionate about using data to solve complex problems and make informed decisions.
I have a strong background in statistics, mathematics, and programming, which are essential skills for a data science role.
I am excited about the opportunity to work with real-world data and apply machine learning algorithms to extract valuable insights.
I am eager to learn from experienced data scientists and contribute to innovative
Skills evaluated in this interview
Fractal Analytics Interview FAQs
Some of the top questions asked at the Fractal Analytics Decision Scientist interview -
The duration of Fractal Analytics Decision Scientist interview process can vary, but typically it takes about less than 2 weeks to complete.
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Fractal Analytics Decision Scientist Interview Process
based on 6 interviews
3 Interview rounds
- Aptitude Test Round
- Technical Round - 1
- Technical Round - 2
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