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Methods for evaluating machine learning models include accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.
Accuracy: measures the proportion of correct predictions out of the total predictions made by the model.
Precision: measures the proportion of true positive predictions out of all positive predictions made by the model.
Recall: measures the proportion of true positive predictions out of all a...
Standard deviation is a measure of the amount of variation or dispersion of a set of values.
Standard deviation is calculated as the square root of the variance.
It indicates how spread out the values in a data set are around the mean.
A low standard deviation means the values are close to the mean, while a high standard deviation means the values are more spread out.
For example, in a data set of test scores, a high ...
P value is a measure used in hypothesis testing to determine the significance of the results.
P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.
A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.
A large P value (> 0.05) suggests weak evidence against the null hypothesis,...
Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.
Autocorrelation is the correlation of a signal with a delayed copy of itself.
It is used to detect patterns or trends in time series data.
Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relations...
I regularly review and analyze data to track performance and make informed decisions.
I track key performance indicators (KPIs) to monitor progress
I use data visualization tools like Excel or Tableau to analyze trends
I conduct regular audits to ensure data accuracy
I collaborate with team members to gather and interpret data
I attend training sessions to stay updated on data analysis techniques
Sales involves the process of selling products or services to customers in order to generate revenue for a business.
Sales is the process of identifying potential customers, understanding their needs, and persuading them to purchase a product or service.
It involves building relationships with customers, negotiating prices, and closing deals.
Sales professionals often use techniques such as cold calling, networking, ...
I have 5 years of experience working on software.
5 years of experience working on software
Proficient in various software tools and platforms
Experience in software development lifecycle
Familiar with coding languages such as Java, Python, and SQL
Understanding basic safety points is crucial for maintaining a safe work environment in maintenance operations.
Always wear appropriate personal protective equipment (PPE) such as gloves, goggles, and helmets.
Conduct regular safety audits to identify and mitigate potential hazards.
Ensure all tools and equipment are in good working condition before use; for example, check for frayed cords on power tools.
Implement lo...
My current CTC in hand is $70,000 per year.
My current CTC is $70,000 per year
I receive this amount annually
It includes all components like base salary, bonuses, and benefits
I consider myself 8 out of 10 in terms of being organized.
I have a systematic approach to managing tasks and keeping track of deadlines.
I use digital tools and calendars to stay organized.
I prioritize tasks based on importance and urgency.
I maintain a clean and tidy workspace.
I have a structured filing system for documents and information.
I regularly review and update my to-do lists.
I am proactive in planning and ...
Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.
Autocorrelation is the correlation of a signal with a delayed copy of itself.
It is used to detect patterns or trends in time series data.
Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relationship.
F...
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
Assumption of linearity: The relationship between the independent and dependent variables is linear.
Assumption of independence: The residuals are independent of each other.
Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Assumption of normality: The resid...
P value is a measure used in hypothesis testing to determine the significance of the results.
P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.
A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.
A large P value (> 0.05) suggests weak evidence against the null hypothesis, lead...
I appeared for an interview in Dec 2024.
Methods for evaluating machine learning models include accuracy, precision, recall, F1 score, ROC curve, and confusion matrix.
Accuracy: measures the proportion of correct predictions out of the total predictions made by the model.
Precision: measures the proportion of true positive predictions out of all positive predictions made by the model.
Recall: measures the proportion of true positive predictions out of all actual...
Standard deviation is a measure of the amount of variation or dispersion of a set of values.
Standard deviation is calculated as the square root of the variance.
It indicates how spread out the values in a data set are around the mean.
A low standard deviation means the values are close to the mean, while a high standard deviation means the values are more spread out.
For example, in a data set of test scores, a high stand...
I have a Bachelor's degree in Mechanical Engineering from XYZ University.
Bachelor's degree in Mechanical Engineering
Graduated from XYZ University
Specialized in XYZ field
Yes, I have basic knowledge about beer and wine making processes.
I am familiar with the fermentation process involved in beer and wine making.
I understand the importance of yeast in the fermentation process.
I know the basic ingredients used in beer and wine making such as hops, malt, grapes, etc.
I am aware of the different types of beer and wine and their unique characteristics.
I applied via LinkedIn and was interviewed in Oct 2024. There were 2 interview rounds.
Supply chain based topic was there
I applied via Referral and was interviewed in Sep 2024. There was 1 interview round.
I regularly review and analyze data to track performance and make informed decisions.
I track key performance indicators (KPIs) to monitor progress
I use data visualization tools like Excel or Tableau to analyze trends
I conduct regular audits to ensure data accuracy
I collaborate with team members to gather and interpret data
I attend training sessions to stay updated on data analysis techniques
First round consists of a logical test
Second round consists of a hirevue
I applied via Referral and was interviewed in Mar 2024. There were 3 interview rounds.
English and Reasoning questions
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The duration of Diageo interview process can vary, but typically it takes about less than 2 weeks to complete.
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Analyst
260
salaries
| ₹4.2 L/yr - ₹9 L/yr |
Assistant Manager
186
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| ₹6.7 L/yr - ₹19 L/yr |
Sales Executive
156
salaries
| ₹2.4 L/yr - ₹6.7 L/yr |
Senior Analyst
146
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| ₹4.8 L/yr - ₹9.5 L/yr |
Senior Manager
121
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| ₹21 L/yr - ₹55 L/yr |
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