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I was interviewed in Dec 2024.
I know this company through researching online, reading reviews, and speaking with current employees.
Researched online about the company's history, values, and products/services
Read reviews from current and former employees on websites like Glassdoor
Spoke with current employees to learn more about the company culture and work environment
I have 3 years of experience as a Packing Operator and I am seeking a similar position in this company.
I have 3 years of experience as a Packing Operator in a manufacturing company
I am skilled in operating packing machinery and ensuring product quality
I am familiar with following safety protocols and maintaining a clean work environment
The company expects high attention to detail, efficiency, teamwork, and adherence to safety protocols.
High attention to detail in packing products accurately
Efficiently operate packaging machinery
Work well in a team environment
Follow safety protocols to prevent accidents
Maintain cleanliness and organization in the packing area
I have been working with your company for 3 years and feel like a valued member of the team.
I have been with the company for 3 years
I feel like a valued member of the team
I enjoy working with my colleagues and feel supported by them
I applied via LinkedIn and was interviewed before Jan 2021. There were 5 interview rounds.
I applied via Recruitment Consulltant and was interviewed before Mar 2021. There were 2 interview rounds.
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I applied via LinkedIn and was interviewed in Feb 2024. There were 2 interview rounds.
I have 3 years of experience as a Data Analyst in a tech company.
Analyzed large datasets to identify trends and patterns
Created visualizations and reports to communicate findings to stakeholders
Utilized SQL, Python, and Tableau for data analysis
Developed predictive models for customer churn and sales forecasting using Python and SQL.
Utilized Python and SQL for data analysis
Developed predictive models for customer churn
Performed sales forecasting
Presented findings to stakeholders
SQL and Python, 5 sql queries and 5 python questions were asked
I applied via Campus Placement and was interviewed in Oct 2024. There was 1 interview round.
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
It enables a single interface to be used for different data types or classes.
Examples include method overloading and method overriding in object-oriented programming.
Find missing number from nth number array.
Iterate through the array and calculate the sum of all numbers
Calculate the sum of numbers from 1 to n using the formula n*(n+1)/2
Subtract the sum of array from the sum of numbers from 1 to n to find the missing number
Inheritance is a concept in object-oriented programming where a class inherits properties and behaviors from another class.
Inheritance allows a class to reuse code from another class.
Types of inheritance include single inheritance, where a class inherits from only one parent class, and multiple inheritance, where a class inherits from multiple parent classes.
Example: Class B inherits from Class A, so Class B can access
Find 2nd max element from array of strings
Sort the array in descending order
Skip the first element (max element)
Return the second element
I applied via Campus Placement and was interviewed in Mar 2024. There was 1 interview round.
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the des...
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early ...
I applied via LinkedIn and was interviewed in Nov 2024. There were 2 interview rounds.
Aptitude was quite easy with simple python questions
Asked basic questions on numpy and pandas
based on 3 interviews
Interview experience
based on 36 reviews
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