Fractal Analytics Analytics Consultant Interview Questions and Answers

It was having basic aptitude questions

Q1. They asked basic english question
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Q2. And alos topic was provided so we had to speak on it.
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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
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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...read more
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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
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Q2. Why you want to join this role
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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
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Q1. Questions about SQL
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Q2. Questions about python dataframes
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Q3. Difference between random forest and decision tree
Ans. 
Random forest is an ensemble learning method using multiple decision trees to improve accuracy and reduce overfitting.
• Random forest uses multiple decision trees to make predictions.

• Decision tree is a single tree structure used for classification and regression.

• Random forest reduces overfitting by averaging the predictions of multiple trees.

• Decision tree can be prone to overfitting if not pruned properly.

• Random forest i...read more
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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
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Q2. What is bagging
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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.
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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
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Verbal reasoning is a type of aptitude test that assesses your ability to understand,analyze,and interpret written information.

Q1. TELL ME ABOUT YOURSELF
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

• Completed projects involving regression analysis, clustering, and classification algorithms
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Q2. TELL ME ABOUT PROJECT
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Used Python and scikit-learn for data preprocessing and model building

• Performed feature engineering to create new variables for the model

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q3. About skills and how did u learn them
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Q4. Why do u want to work with us
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I am passionate about data science and believe in the impact it can have on driving insights and decision-making.
• I am excited about the opportunity to work with a team of experienced data scientists and learn from their expertise.

• I am impressed by the innovative projects and cutting-edge technologies that your company is involved in.

• I am eager to apply my skills and knowledge in data science to real-world problems and
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Q5. How do you stay clam when talking to difficult people
Ans. 
I remain calm by actively listening, staying patient, and focusing on finding common ground.
• Practice active listening to understand their perspective

• Stay patient and avoid reacting emotionally

• Focus on finding common ground or a solution to the issue

• Use positive body language and tone of voice to convey understanding and empathy
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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'
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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
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Q1. Java and SQL interview questions
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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
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Q1. Problem solving questions. Gave a case study to check presence of mind
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Q1. Basic salary discussion
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