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General Mills Interview Questions and Answers
16 Interview questions
COGS, or Cost of Goods Sold, represents the direct costs attributable to the production of goods sold by a company.
COGS includes costs like raw materials and labor directly involved in production.
For a bakery, COGS would include flour, sugar, and wages for bakers.
It is subtracted from revenue to determine gross profit.
COGS can vary significantly between industries; for example, a manufacturing firm has different C...
Setting up a plant requires careful planning, resources, and compliance with regulations to ensure efficient operations.
Location: Choose a site with access to transportation and utilities.
Equipment: Invest in machinery tailored to production needs, like conveyor belts for assembly lines.
Workforce: Hire skilled labor and provide training for safety and efficiency.
Regulatory Compliance: Ensure adherence to local law...
Important factors in demand planning include historical data analysis, market trends, collaboration with sales and marketing teams, and accurate forecasting.
Analyzing historical data to identify patterns and trends
Monitoring market trends and changes in consumer behavior
Collaborating closely with sales and marketing teams to gather insights and align strategies
Utilizing accurate forecasting methods to predict futu...
Forecast accuracy measures how close the forecast is to actual results, while bias measures the tendency of the forecast to consistently over or under predict.
Forecast accuracy is the measure of how close the forecasted values are to the actual values.
Bias is the tendency of the forecast to consistently over or under predict the actual values.
Forecast accuracy is typically measured using metrics like Mean Absolute...
OOPS in C# is a programming paradigm that focuses on objects and classes to organize code and data.
OOPS stands for Object-Oriented Programming System
It involves concepts like classes, objects, inheritance, polymorphism, and encapsulation
Example: In C#, you can create a class 'Car' with properties like 'make', 'model', and methods like 'drive'
Example: Inheritance allows a class 'SUV' to inherit properties and metho...
Random Forest is like asking a group of friends for advice and making a decision based on majority vote.
Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Each decision tree in the Random Forest is like a friend giving their opinion on a decision.
The final prediction of the Random Forest is based on the majority vote of all the decision trees.
For example...
The Gini coefficient is used in Random Forest to measure the impurity of a node.
Gini coefficient is a measure of impurity in a node of a decision tree in Random Forest.
It ranges from 0 (pure node) to 0.5 (impure node).
Random Forest uses Gini coefficient to decide how to split nodes during the tree building process.
Incremental load can be handled by identifying new or updated data and merging it with existing data.
Identify new or updated data using timestamps or unique identifiers
Extract and transform the new data
Merge the new data with existing data using a join or union operation
Load the merged data into the target system
Program to find the smallest number from 5 given numbers.
Declare an array of 5 integers.
Take input of 5 numbers from user and store them in the array.
Initialize a variable with the first element of the array.
Loop through the array and compare each element with the variable.
If the element is smaller than the variable, update the variable.
After the loop, the variable will contain the smallest number.
Print the smalle...
Yes, I have worked in both FMCG modelling and CPG domains.
I have experience in developing demand forecasting models for FMCG products.
I have also worked on pricing and promotion optimization for CPG products.
I am familiar with the challenges and trends in both domains.
For example, I have worked on a project where we developed a predictive model for a snack food company to optimize their inventory management and re...
General Mills Interview Experiences
70 interviews found
Anonymous
Basic aptitude test
Practice maths sums
(2 Questions)
- Q1. Dsa question of easy level
- Q2. Tell me more about yourself
- Ans.
I am a recent graduate with a degree in Marketing and a passion for digital marketing strategies.
Recent graduate with a degree in Marketing
Passionate about digital marketing strategies
Experience in social media marketing and content creation
Intern Interview Questions asked at other Companies
Selected
I applied via Naukri.com and was interviewed in Jan 2024. There were 2 interview rounds.
(8 Questions)
- Q1. Introduce yourself, what you do?
- Ans.
As a Senior Demand Planner, I analyze market trends and coordinate supply chain strategies to optimize inventory and meet customer demand.
Data Analysis: I utilize historical sales data and market trends to forecast demand accurately, ensuring optimal inventory levels.
Collaboration: I work closely with sales, marketing, and supply chain teams to align demand forecasts with business strategies, such as launching new prod...
- Q2. What is difference between forecast accuracy and bias?
- Ans.
Forecast accuracy measures how close the forecast is to actual results, while bias measures the tendency of the forecast to consistently over or under predict.
Forecast accuracy is the measure of how close the forecasted values are to the actual values.
Bias is the tendency of the forecast to consistently over or under predict the actual values.
Forecast accuracy is typically measured using metrics like Mean Absolute Perc...
- Q3. Which according to you is important among the both accuracy or bias if you have to select in them
- Ans.
Accuracy is more important than bias in demand planning as it ensures the forecast is as close to the actual demand as possible.
Accuracy ensures that the forecast is as close to the actual demand as possible, leading to better inventory management and customer satisfaction.
Bias can lead to consistently overestimating or underestimating demand, resulting in excess inventory or stockouts.
In demand planning, the focus sho...
- Q4. Challenges you faced in your carrer
- Ans.
As a Senior Demand Planner, I faced challenges like data accuracy, cross-departmental collaboration, and adapting to market changes.
Data Accuracy: Ensuring the accuracy of demand forecasts was challenging, especially when dealing with incomplete or outdated data. For instance, I implemented a new data validation process that reduced errors by 30%.
Cross-Departmental Collaboration: Collaborating with sales, marketing, an...
- Q5. What are important factor in demand planning
- Ans.
Important factors in demand planning include historical data analysis, market trends, collaboration with sales and marketing teams, and accurate forecasting.
Analyzing historical data to identify patterns and trends
Monitoring market trends and changes in consumer behavior
Collaborating closely with sales and marketing teams to gather insights and align strategies
Utilizing accurate forecasting methods to predict future de...
- Q6. Situation question on your colleague alloted to you is not working at all in project handled by you, how will you handle him/her?
- Q7. If you do mistake in forecast thats instead of 200 you put 2000 , what will you do
- Ans.
I would analyze the impact of the mistake on the overall forecast accuracy and take corrective actions to adjust the forecast accordingly.
Analyze the impact of the mistake on the forecast accuracy
Identify the root cause of the mistake (e.g. data entry error, system glitch)
Adjust the forecast by correcting the error and reevaluating the demand drivers
Communicate the revised forecast to stakeholders to ensure alignment
- Q8. What is your Weakness?
- Ans.
One of my weaknesses is my tendency to overanalyze data, which can slow down decision-making in fast-paced environments.
Overanalyzing Data: I often find myself diving deep into data sets, which can delay timely decisions. For instance, in a recent project, I spent extra time analyzing trends that ultimately didn't impact the immediate strategy.
Perfectionism: I strive for perfection in my forecasts, which can lead to sp...
(4 Questions)
- Q1. Tell about yourself
- Ans.
As a Senior Demand Planner, I leverage data analytics and market insights to optimize inventory and forecast demand effectively.
Extensive Experience: Over 8 years in demand planning, successfully managing forecasts for a $50M product line, resulting in a 15% reduction in stockouts.
Data-Driven Decision Making: Proficient in using advanced analytics tools like SAP and Excel to analyze trends and adjust forecasts accordin...
- Q2. Why you are leaving the company
- Ans.
I am leaving to pursue new challenges and opportunities for growth that align with my career aspirations and professional development.
Career Advancement: I am seeking a position that offers more opportunities for leadership and strategic decision-making, such as leading cross-functional teams.
Skill Development: I want to enhance my skills in advanced demand forecasting techniques and data analytics, which are crucial f...
- Q3. Where do you find yourself in 2-3 years
- Ans.
In 2-3 years, I see myself as a strategic leader in demand planning, driving efficiency and innovation in supply chain processes.
Leading a team of demand planners to enhance forecasting accuracy and reduce lead times.
Implementing advanced analytics tools to improve demand visibility and decision-making.
Collaborating with cross-functional teams to align demand planning with business objectives.
Mentoring junior planners ...
- Q4. Will you leave the company early like you did in this instance if big MNC comes
Interview Preparation Tips
Senior Demand Planner Interview Questions asked at other Companies
Selected
Case study - marketing
(2 Questions)
- Q1. About the case study
- Q2. Nielsen fundamentals
Analyst Interview Questions asked at other Companies
(1 Question)
- Q1. Tell me about yourself
- Ans.
I am a passionate marketing professional with a strong background in digital strategies and brand management, dedicated to driving growth.
Experience in Digital Marketing: I have successfully managed social media campaigns that increased engagement by 40% for a previous employer.
Brand Management: I led a rebranding project that resulted in a 25% increase in brand recognition within six months.
Data-Driven Decision Making...
Test on aptitude and others
Interview Preparation Tips
Marketing Officer Interview Questions asked at other Companies
I applied via Campus Placement
(1 Question)
- Q1. Tableau related questions for Business Intelligence role
(1 Question)
- Q1. Situation based questions -STAR model
(1 Question)
- Q1. Salary negotiation
Analyst Interview Questions asked at other Companies
Selected
I applied via Recruitment Consulltant and was interviewed in Jan 2024. There were 4 interview rounds.
(1 Question)
- Q1. Questions On Sql and Big Query
Scenario based questions
(1 Question)
- Q1. Personal Experience based questions
(1 Question)
- Q1. Salary and work experience discussions
Interview Preparation Tips
Selected
I applied via LinkedIn and was interviewed in Jun 2024. There were 2 interview rounds.
Online test with basic aptitude questions
(1 Question)
- Q1. One challenge I faced
- Ans.
One challenge I faced was managing a cross-functional team with conflicting priorities.
Balancing competing priorities and deadlines
Communicating effectively with team members to align goals
Implementing project management tools to streamline workflow
(1 Question)
- Q1. Numerical aptitude, Graph Interpretation , OOP Mcqs, DSA Mcqs, OS mcqs, CN mcqs 2 Python coding questions (one was quite easy, another was medium)
(1 Question)
- Q1. Data visualization tools Projects Write a code
- Ans.
Data visualization tools are essential for displaying and analyzing data in a visually appealing way.
Popular data visualization tools include Matplotlib, Seaborn, Plotly, and Tableau.
Python libraries like Matplotlib and Seaborn are commonly used for creating charts and graphs.
Tableau is a powerful tool for creating interactive dashboards and visualizations.
Plotly is known for its ability to create interactive plots and...
Skills evaluated in this interview
Python Developer Trainee Interview Questions asked at other Companies
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Difference between correlation and covariance
- Ans.
Covariance measures the extent to which two variables change together, while correlation measures the strength and direction of a linear relationship between two variables.
Covariance can be positive, negative, or zero, indicating the direction of the relationship between variables.
Correlation is always between -1 and 1, with 1 indicating a perfect positive linear relationship, -1 indicating a perfect negative linear re...
- Q2. Elaborate on why you chose to use this specific metric over other(Project based)
- Ans.
Choosing the right metric is crucial for accurately evaluating model performance and aligning with project goals.
Relevance to Business Goals: I selected precision as the primary metric because the project aimed to minimize false positives in a fraud detection system, ensuring that legitimate transactions are not incorrectly flagged.
Interpretability: Precision is easier for stakeholders to understand compared to metrics...
(1 Question)
- Q1. Explain your favourite DS algorithm as if you are explaining to a 5 yr old
- Ans.
Random Forest is like asking a group of friends for advice and making a decision based on majority vote.
Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions.
Each decision tree in the Random Forest is like a friend giving their opinion on a decision.
The final prediction of the Random Forest is based on the majority vote of all the decision trees.
For example, if ...
Interview Preparation Tips
- Be genuine
Skills evaluated in this interview
Data Scientist 2 Interview Questions asked at other Companies
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
General maths and aptitude with verbal and data interpretation included.
(3 Questions)
- Q1. They asked me to discuss one of my projects and then asked related questions going deep. They also asked me to solve a guesstimate.
- Q2. Knowledge about Stats is a must because I believe that is why they didn't take me(I didn't answer to those). I also learned that Machine learning had been asked to one of my friends.
- Q3. They also asked me to solve a guesstimate - The number of biscuit packets consumed in my home state over a week.
Interview Preparation Tips
- Statistics
- Probability
- Machine Learning
- Risk Analysis
- Demand Forecasting
- Statistical Forecasting
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General Mills Interview FAQs
Some of the top questions asked at the General Mills interview -
The duration of General Mills interview process can vary, but typically it takes about less than 2 weeks to complete.
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General Mills Interviews By Designations
- General Mills Analyst Interview Questions
- General Mills Senior Analyst Interview Questions
- General Mills Senior Consultant Interview Questions
- General Mills Senior Data Engineer Interview Questions
- General Mills Executive Interview Questions
- General Mills Intern Interview Questions
- General Mills Data Analyst Interview Questions
- General Mills Finance Executive Interview Questions
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