Ericsson Data Scientist Interview Questions, Process, and Tips for Experienced

Q1. Your past experience related questions
Add your answer

Q1. Role related questions
Add your answer

Q1. Explain K-Means algorithm
Ans. 
K-Means is a clustering algorithm that partitions data into K clusters based on similarity.
• Divides data points into K clusters based on distance from centroid

• Iteratively updates centroids to minimize within-cluster variance

• Requires specifying number of clusters K beforehand

• Example: Grouping customers based on purchasing behavior
Answered by AI
Add your answer

Q1. How do you select the appropriate learning algorithm for a problem?
Ans. 
Selecting the appropriate learning algorithm involves considering the problem's characteristics and requirements.
• Understand the problem's nature, such as classification, regression, clustering, etc.

• Consider the size of the dataset and the computational resources available.

• Evaluate the complexity of the relationships within the data.

• Experiment with different algorithms and compare their performance using metrics like ac...read more
Answered by AI
Add your answer

Q1. Questions to assess compatibility with team culture
Add your answer

Q1. What is p value
Ans. 
P value is a statistical measure that helps determine the significance of results in hypothesis testing.
• P value is the probability of obtaining results 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.

• Conversely, a large p value (> 0.05) suggests weak evidence against the null hypot...read more
Answered by AI
Add your answer
Q2. When will you use t test
Ans. 
T test is used to determine if there is a significant difference between the means of two groups.
• Use t test when comparing means of two groups to determine if there is a significant difference.

• Commonly used in hypothesis testing to assess if there is a statistically significant difference between groups.

• Example: Comparing the average test scores of students who received tutoring versus those who did not.

• Example: Testin...read more
Answered by AI
Add your answer

How will you do customer segmentation

Q1. Tools you worked on previously
Ans. 
I have worked with tools such as Python, R, SQL, Tableau, and Excel for data analysis and visualization.
• Python

• R

• SQL

• Tableau

• Excel
Answered by AI
Add your answer
Q2. Why did you choose cisco
Ans. 
I chose Cisco for its reputation as a leader in networking technology and its commitment to innovation.
• Cisco is a global leader in networking technology

• Cisco has a strong reputation for innovation and cutting-edge solutions

• I admire Cisco's commitment to diversity and inclusion in the workplace
Answered by AI
Add your answer

Q1. Python, alogrithms, data science
Add your answer

Python 45 mins, OOPS Concepts, SQL

Q1. Can you discuss one of your project in detail and why have you chosen those specific model to start with?
Add your answer

Q1. What is linear regression? How to process data? Explain KLM algorithm.
Ans. 
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
• Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.

• It assumes a linear relationship between the independent and dependent variables.

• The goal of linear regression is to find the best-fitting line that minimi...read more
Answered by AI
Add your answer