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Python 45 mins, OOPS Concepts, SQL
I applied via Referral and was interviewed before Oct 2023. There were 3 interview rounds.
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...
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...
How will you do customer segmentation
I have worked with tools such as Python, R, SQL, Tableau, and Excel for data analysis and visualization.
Python
R
SQL
Tableau
Excel
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
I applied via Recruitment Consulltant and was interviewed before Sep 2023. There were 3 interview rounds.
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
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...
What people are saying about Cisco
I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.
Cisco interview questions for designations
PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.
PCA is used to reduce the number of variables in a dataset while retaining the most important information.
Decision trees are used to classify data based on a set of rules and conditions.
Computer vision involves usin...
posted on 6 May 2024
I applied via Recruitment Consulltant and was interviewed in Apr 2024. There was 1 interview round.
I was interviewed before Oct 2019.
I applied via Approached by Company and was interviewed in Aug 2024. There were 2 interview rounds.
*****, arjumpudi satyanarayana
Python is a high-level programming language known for its simplicity and readability.
Python is widely used for web development, data analysis, artificial intelligence, and scientific computing.
It emphasizes code readability and uses indentation for block delimiters.
Python has a large standard library and a vibrant community of developers.
Example: print('Hello, World!')
Example: import pandas as pd
Code problems refer to issues or errors in the code that need to be identified and fixed.
Code problems can include syntax errors, logical errors, or performance issues.
Examples of code problems include missing semicolons, incorrect variable assignments, or inefficient algorithms.
Identifying and resolving code problems is a key skill for data scientists to ensure accurate and efficient data analysis.
Python code is a programming language used for data analysis, machine learning, and scientific computing.
Python code is written in a text editor or an integrated development environment (IDE)
Python code is executed using a Python interpreter
Python code can be used for data manipulation, visualization, and modeling
The project is a machine learning model to predict customer churn for a telecommunications company.
Developing predictive models using machine learning algorithms
Analyzing customer data to identify patterns and trends
Evaluating model performance and making recommendations for reducing customer churn
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