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I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
I applied via Company Website and was interviewed in Dec 2024. There were 3 interview rounds.
Basic self evaluation test.
Handling class imbalance involves techniques like resampling, using different algorithms, and adjusting class weights.
Use resampling techniques like oversampling or undersampling to balance the classes.
Utilize algorithms that are robust to class imbalance, such as Random Forest, XGBoost, or SVM.
Adjust class weights in the model to give more importance to minority class.
Use evaluation metrics like F1 score, precision, r...
posted on 29 Dec 2024
It is nice to do work
It helps in understanding the 5
It helps a lot in company
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
Identify trends and patterns in data
Create visualizations to communicate findings
Provide actionable recommendations based on data analysis
I applied via Approached by Company and was interviewed in Nov 2024. There were 3 interview rounds.
I applied via Referral and was interviewed in Nov 2024. There were 2 interview rounds.
I applied via Referral and was interviewed in Feb 2024. There were 5 interview rounds.
I am responsible for analyzing data, creating reports, and providing insights to support decision-making.
Analyze large datasets to identify trends and patterns
Create reports and dashboards to visualize data for stakeholders
Provide insights and recommendations based on data analysis
Collaborate with cross-functional teams to drive data-driven decision-making
Lead Data Analyst oversees data analysis team, develops strategies, interprets data, and presents insights to stakeholders.
Manage and lead a team of data analysts
Develop data analysis strategies and methodologies
Interpret data and provide actionable insights to stakeholders
Collaborate with cross-functional teams to drive data-driven decision making
Ensure data quality and accuracy in analysis
Stay updated on industry tre
Sales Comp is a system that determines how salespeople are compensated based on their performance.
Sales Comp is short for Sales Compensation
It involves designing and implementing a system to reward salespeople based on their sales performance
Roles include setting sales targets, determining commission structures, and monitoring sales performance
Responsibilities include analyzing sales data, calculating commissions, and ...
I applied via Referral and was interviewed in Dec 2023. There was 1 interview round.
I used the Random Forest algorithm in my project.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is used for both classification and regression tasks.
Random Forest reduces overfitting and provides feature importance.
Example: I used Random Forest to predict customer churn in a telecom company.
SQL is a programming language used for managing and manipulating relational databases. A database is a structured collection of data.
SQL is used to retrieve, insert, update, and delete data from a database.
A database is a software system that stores and organizes data in a structured manner.
SQL allows users to define the structure of a database, create tables, and establish relationships between tables.
Examples of data
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables in a single query.
Common types of joins include inner join, left join, right join, and full outer join.
Joins are performed using the JOIN keyword and specifying the columns to join on.
Joins can be used to combine tables based on matching values or non-matching values.
...
I applied via Referral and was interviewed in Mar 2024. There were 2 interview rounds.
I applied via LinkedIn and was interviewed in Dec 2023. There was 1 interview round.
Find the Highest profit by geo
I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.
Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.
One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.
Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.
Evaluate the model using appropriate...
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