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I applied via Referral and was interviewed in Nov 2021. There was 1 interview round.
Marketing Mix Modeling is a statistical analysis tool used to measure the impact of marketing activities on sales and customer behavior.
Marketing Mix Modeling helps businesses understand the effectiveness of their marketing strategies.
It involves analyzing various marketing variables such as price, promotion, product, and place.
By quantifying the impact of each variable, companies can optimize their marketing efforts.
F...
A model's fit is determined by evaluating how well it performs in comparison to the data it was trained on.
Evaluate the model's performance on a test dataset
Compare the model's predicted values to the actual values
Use metrics such as accuracy, precision, recall, and F1 score to assess the model's performance
Consider the model's ability to generalize to new data
Iteratively adjust the model's parameters to improve its fi
Adjusted R-square, F-test, T-test are important statistical measures to evaluate the accuracy and significance of a regression model.
Adjusted R-square measures the proportion of variation in the dependent variable that is explained by the independent variables in the model.
F-test is used to test the overall significance of the model by comparing the variation explained by the model to the variation not explained by the...
Multicollinearity can lead to inaccurate and unstable regression coefficients.
It can make it difficult to determine the effect of individual predictors on the outcome variable.
It can lead to inflated standard errors and p-values, making some predictors appear insignificant.
It can cause the model to be less reliable and less accurate in making predictions.
It can also make the model sensitive to small changes in the data...
S/4 HANA implementation involves migrating business processes to SAP's latest ERP system for improved efficiency and real-time analytics.
Data migration from legacy systems to S/4 HANA
Business process reengineering to align with S/4 HANA functionalities
Customization and configuration of S/4 HANA modules
Training employees on using the new system effectively
Testing and validation of the implemented solution
Setting up a master data set involves identifying data sources, cleansing data, defining data attributes, and establishing data governance.
Identify all relevant data sources that will be included in the master data set
Cleanse the data to ensure accuracy and consistency
Define data attributes such as data types, formats, and relationships
Establish data governance policies and procedures to maintain data quality and integ
I was interviewed in Jan 2025.
Basic .net concept question and 2 leetcode medium question.
1) find a target element within a rotated search array (complexity < 0(N))
I applied via Naukri.com
Nielsen interview questions for popular designations
I applied via Naukri.com and was interviewed in Dec 2024. There was 1 interview round.
Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
Random Forest is a popular machine learning model used for classification and regression tasks.
It works by creating multiple decision trees during training and outputs the mode of the classes for classification or the average prediction for regression.
Random Forest is ro...
Creating a DataFrame from two lists in Python.
Import the pandas library
Create two lists of data
Use pd.DataFrame() to create a DataFrame from the two lists
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I applied via Instahyre and was interviewed in Dec 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Jun 2024. There were 4 interview rounds.
Problem statement: Shared an email very similar to how it will be in the job, containing a product request from a stakeholder. Job is to create a product backlog/ product requirements document with use cases and your take and approach on how to solve the problem.
I applied via LinkedIn and was interviewed in Aug 2024. There were 2 interview rounds.
3 simple coding questions
Merge sort is a divide and conquer algorithm that recursively divides the input array into smaller subarrays, sorts them, and then merges them back together.
Divide the input list into two halves
Recursively apply merge sort to each half
Merge the sorted halves back together
I applied via Job Portal and was interviewed in Nov 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Aug 2024. There were 2 interview rounds.
Coding threads with RTOS involves creating and managing multiple threads in real-time operating systems.
Understand the RTOS scheduling algorithm to prioritize threads.
Use synchronization mechanisms like semaphores and mutexes to avoid race conditions.
Implement thread-safe data structures to share data between threads.
Consider the stack size and priority of each thread to prevent stack overflow and ensure timely executi
I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
Find the minimum element in a rotated sorted array.
Perform binary search to find the pivot point where the array is rotated.
Compare the element at pivot point to the first element to determine which half to search for the minimum.
Continue binary search in the appropriate half to find the minimum element.
API for Instagram application to interact with user data and DB schema to store user information and posts.
API endpoints for user authentication, posting photos, liking photos, following users, etc.
DB schema with tables for users, posts, comments, likes, followers, etc.
Example API endpoint: /users/{userId}/posts to retrieve all posts by a specific user.
Example DB schema: Users table with columns for username, email, pr
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Gurgaon / Gurugram
+16-11 Yrs
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