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Fractal Analytics Consultant Interview Questions and Answers
13 Interview questions
Statistics help analyze data, identify trends, and make informed decisions in various analytical problems.
Descriptive statistics summarize data (e.g., mean, median, mode) to understand central tendencies.
Inferential statistics allow us to make predictions or generalizations about a population based on a sample (e.g., confidence intervals).
Regression analysis helps identify relationships between variables (e.g., pr...
Leadership skills are crucial for consultants to guide teams, influence clients, and drive project success effectively.
Effective communication: Clearly articulating ideas and strategies to team members and clients. Example: Leading a project kickoff meeting.
Decision-making: Analyzing data and making informed choices under pressure. Example: Choosing between two competing vendor proposals.
Conflict resolution: Addre...
SQL and Python are essential tools for data analysis and manipulation in consulting roles.
SQL is used for querying databases; for example, SELECT * FROM patients WHERE age > 30.
Python can automate data processing tasks; for instance, using pandas to clean and analyze data.
Combining SQL with Python allows for powerful data insights; e.g., using SQLAlchemy to connect Python with a SQL database.
Python provides built-in libraries like json to handle JSON data easily.
Use json module to load and parse JSON data
Use json.dumps() to convert Python objects into JSON strings
Use json.loads() to convert JSON strings into Python objects
SQL queries can be crafted to retrieve, update, and manipulate data based on specific scenarios.
Use SELECT to retrieve data: Example - SELECT * FROM employees WHERE department = 'Sales';
Use JOIN to combine data from multiple tables: Example - SELECT a.name, b.project FROM employees a JOIN projects b ON a.id = b.employee_id;
Use WHERE clause to filter results: Example - SELECT * FROM orders WHERE order_date > '20...
GA3 is a plant hormone that regulates various growth processes in plants.
Regulates seed germination
Promotes stem elongation
Influences flowering and fruit development
Used in agriculture to increase crop yield
Can be applied externally to plants to induce growth responses
Fractal Analytics HR Interview Questions
A data layer is a software component that separates the data access logic from the business logic in an application.
It acts as an intermediary between the database and the application's business logic
Helps in managing data access, storage, and retrieval
Improves scalability and maintainability of the application
Examples include ORM frameworks like Hibernate in Java or Entity Framework in .NET
Use a subquery to find the 2nd largest value in a SQL table.
Use a subquery to find the maximum value in the table
Exclude the maximum value from the results to find the 2nd largest value
Fractals are complex geometric shapes that can be split into parts, each of which is a reduced-scale copy of the whole.
Fractals exhibit self-similarity, meaning they look similar at any scale or magnification.
Examples of fractals include the Mandelbrot set, Koch snowflake, and Sierpinski triangle.
Fractals are used in various fields such as mathematics, computer graphics, and art.
Seeking new challenges and opportunities for growth
Desire to work on more diverse projects
Opportunity for career advancement
Seeking a better work-life balance
Interested in learning new skills or technologies
Fractal Analytics Consultant Interview Experiences
26 interviews found
Anonymous
(1 Question)
- Q1. Questions were all related to the role i.e Market Mix Modeling . Structure of a model, types of KPI that are reported to Client ( ROI, effectiveness etc), Statistical parameters to verify model, how to fin...
Anonymous
(2 Questions)
- Q1. Pandas based basic Data Manipulation Tasks
- Q2. Handling Jsons in python
- Ans.
Python provides built-in libraries like json to handle JSON data easily.
Use json module to load and parse JSON data
Use json.dumps() to convert Python objects into JSON strings
Use json.loads() to convert JSON strings into Python objects
Skills evaluated in this interview
Nida Hayath
(2 Questions)
- Q1. What are the scopes of GA3
- Ans.
GA3 is a plant hormone that regulates various growth processes in plants.
Regulates seed germination
Promotes stem elongation
Influences flowering and fruit development
Used in agriculture to increase crop yield
Can be applied externally to plants to induce growth responses
- Q2. What is a data layer
(2 Questions)
- Q1. Salary negotiation
- Q2. What is your notice period
Skills evaluated in this interview
Consisted of MCQs on Python and SQL
(1 Question)
- Q1. Based on job experience
Selected
I applied via LinkedIn and was interviewed in Oct 2023. There were 3 interview rounds.
SQL and Python basic questions
(2 Questions)
- Q1. Problem solving questions
- Q2. SQL query on 2nd largest
(1 Question)
- Q1. Culture fit questions
Skills evaluated in this interview
I applied via Job Portal and was interviewed in Feb 2024. There were 2 interview rounds.
Aptitude test are basically asked from reasonable and patterns type questions.
Tooics are given from businesses and case study
Mohammed Ayaz
Selected
I applied via Approached by Company and was interviewed before Feb 2023. There were 4 interview rounds.
(2 Questions)
- Q1. Questions related to Pharma domain about patient/hcp activity table, HIT targeting project end to end implementation, raw data cleaning and filtering etc.
- Q2. Basic SQL question based on a sample data given which will be used as a backend for a visualisation
6-8 questions on SQL and Python
(1 Question)
- Q1. An overview on all the projects I have worked on and my knowledge on domain
(3 Questions)
- Q1. Strength and Weakness
- Q2. Reason to switch
- Ans.
Seeking new challenges and opportunities for growth
Desire to work on more diverse projects
Opportunity for career advancement
Seeking a better work-life balance
Interested in learning new skills or technologies
- Q3. Negotiations on salary
Interview Preparation Tips
- SQL
- Python
- Pandas
- Pharma
Selected
I applied via Naukri.com and was interviewed in Dec 2022. There were 4 interview rounds.
(2 Questions)
- Q1. I was provided with a Marketing Mix Model problem statement and I have to provide the complete solution in excel and powerpoint presentation. In first round, The Question were all around my previous projec...
- Q2. What is adstock, decay, Due tos Contributions? How do you evaluate the model? What is seasonality and the formula for seasonality? Do seasonality have any contribution?
- Ans.
Explanation of adstock, decay, Due tos Contributions, seasonality and its formula.
Adstock is the measure of the lasting impact of advertising on consumer behavior.
Decay refers to the reduction in the effectiveness of advertising over time.
Due tos Contributions is the attribution of sales to different marketing channels.
Seasonality is the pattern of sales or other metrics that repeat over a fixed period of time.
The form...
(1 Question)
- Q1. Second round was improvement on the model provided by me as the solution for MMM question. Technical questions were more on reasoning for the variables selected and understanding of the concepts of MMM. L...
(1 Question)
- Q1. Salary Discussion and stuff related to that
Interview Preparation Tips
Selected
I appeared for an interview before Mar 2023.
(1 Question)
- Q1. More about what you have been doing in past role
(1 Question)
- Q1. How much you know about fractal
(1 Question)
- Q1. To check culture fit with the org
(1 Question)
- Q1. Python plus SQL , machine learning,mmm
Case study on different aspects of analytics
Top trending discussions
Fractal Analytics Interview FAQs
Some of the top questions asked at the Fractal Analytics Consultant interview -
The duration of Fractal Analytics Consultant interview process can vary, but typically it takes about less than 2 weeks to complete.
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3-8 Yrs
Not Disclosed
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