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Whirlpool Product Management Analyst Interview Questions and Answers
Whirlpool Product Management Analyst Interview Experiences
1 interview found
Anonymous
I applied via Job Portal and was interviewed in Aug 2024. There was 1 interview round.
(2 Questions)
- Q1. Tell me about sheet metal Knowledge
- Ans.
Sheet metal knowledge involves understanding the properties, uses, and fabrication techniques of thin metal sheets.
Understanding different types of sheet metal such as aluminum, steel, and copper
Knowledge of sheet metal thicknesses and gauges
Familiarity with sheet metal fabrication techniques like bending, cutting, and welding
Awareness of sheet metal finishes and coatings
Ability to read and interpret engineering drawin
- Q2. How do you catégories plastics
- Ans.
Plastics can be categorized based on their composition, properties, and intended use.
Categorize plastics based on their composition such as thermosetting plastics, thermoplastics, and elastomers
Consider properties like flexibility, durability, and heat resistance when categorizing plastics
Categorize plastics based on their intended use such as packaging, construction, or automotive applications
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- Q1. How would you describe yourself?
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I applied via Naukri.com and was interviewed in Oct 2024. There were 2 interview rounds.
It was simple but lengthy
(2 Questions)
- Q1. Tell me about yourself
- Ans.
I am a data analyst with a strong background in statistics and data visualization.
Graduated with a degree in Statistics
Proficient in programming languages like Python and R
Experience in analyzing large datasets and creating data visualizations
Strong problem-solving skills
- Q2. About resume and technical
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Skil set for My relevant job update
Communication discussion
(2 Questions)
- Q1. About My profile and knowledge
- Q2. About My attitude and experience
(1 Question)
- Q1. Excel formula and macro MS word and PowerPoint dashboard advanced Excel and power bi
Interview Questionnaire
3 Questions
- Q1. Rate yourself in ADVANCED EXCEL, AND SQL
- Ans.
I rate myself 8/10 in Advanced Excel and 9/10 in SQL.
Advanced Excel: proficient in pivot tables, VLOOKUP, macros, and data visualization
SQL: skilled in writing complex queries, joins, subqueries, and stored procedures
Experience in using Excel and SQL together to analyze large datasets
- Q2. How to Work with dynamic data, how to remove duplicate data or fix the data
- Ans.
To work with dynamic data, remove duplicates and fix errors, use data cleaning techniques.
Use software tools like OpenRefine or Excel to clean data
Identify and remove duplicate data using unique identifiers
Fix errors by standardizing data formats and using regular expressions
Use data validation to ensure accuracy and completeness
Create a data cleaning plan and document all changes made
Test the cleaned data to ensure it
- Q3. Difference between formula and a function
- Ans.
Formula is a mathematical expression while function is a pre-built formula that performs a specific task.
Formula is a combination of mathematical operators and values used to calculate a result.
Function is a pre-built formula that performs a specific task, such as finding the average of a range of numbers.
Formulas can be customized and modified, while functions are fixed and cannot be changed.
Examples of functions incl
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Skills evaluated in this interview
I applied via LinkedIn and was interviewed before Apr 2022. There were 2 interview rounds.
The diagonals AC and BD of a cyclic quadrilateral ABCD intersect each other at the point P. Then, it is always true that
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I applied via Recruitment Consulltant and was interviewed in Jun 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Tell me about the project you have worked recently
- Ans.
Developed a predictive analytics model to forecast customer churn for a telecom company
Used Python and SQL to clean and analyze customer data
Implemented machine learning algorithms such as logistic regression and random forest
Evaluated model performance using metrics like accuracy, precision, and recall
- Q2. What kind of forecasting have you done
- Ans.
I have experience in time series forecasting using statistical models and machine learning algorithms.
Utilized ARIMA model to forecast sales data for a retail company
Implemented Prophet algorithm to predict stock prices for a financial institution
Used LSTM neural network for demand forecasting in supply chain management
Excel assessment- was made to make a report from multiple sheets
(1 Question)
- Q1. Couple of leetcode medium questions (i think it was around 3 questions) and they had their own platform
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