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GrowthJockey Data Scientist Interview Questions and Answers
GrowthJockey Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
(2 Questions)
- Q1. How does K-Means Work
- Ans.
K-Means is a clustering algorithm that partitions data into K clusters based on similarity.
Initializes K centroids randomly
Assigns each data point to the nearest centroid
Calculates new centroids based on the mean of data points in each cluster
Repeats until centroids no longer change or a specified number of iterations is reached
- Q2. Mathematics behind image classification in neural networks
- Ans.
Image classification in neural networks involves using mathematical algorithms to analyze and categorize images.
Neural networks use mathematical functions to process pixel values and extract features from images.
Common mathematical techniques include convolutional layers, activation functions, and loss functions.
Examples of image classification tasks include identifying objects in photos, detecting diseases in medical
Skills evaluated in this interview
Interview questions from similar companies
I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. Nothing much technical
Interview Preparation Tips
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Interview Questionnaire
1 Question
- Q1. Basic ML
I applied via Company Website and was interviewed before Jan 2020. There was 1 interview round.
Interview Questionnaire
1 Question
- Q1. Which job gives me do that work because of this job very important to me
Interview Preparation Tips
Interview Questionnaire
1 Question
- Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
I applied via Referral and was interviewed in Mar 2021. There were 4 interview rounds.
Interview Questionnaire
2 Questions
- Q1. What is data science
- Ans.
Data science is the field of extracting insights and knowledge from data using various techniques and tools.
Data science involves collecting, cleaning, and analyzing data to extract insights.
It uses various techniques such as machine learning, statistical modeling, and data visualization.
Data science is used in various fields such as finance, healthcare, and marketing.
Examples of data science applications include fraud...
- Q2. What is phyton and R
- Ans.
Python and R are programming languages commonly used in data science and statistical analysis.
Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.
R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.
Both languages are popular choices for data scientists and hav...
Interview Preparation Tips
Skills evaluated in this interview
I applied via Company Website and was interviewed in Apr 2024. There was 1 interview round.
(1 Question)
- 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...
Interview Preparation Tips
Skills evaluated in this interview
Interview Questionnaire
1 Question
- Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
Mr. A K
Very easy and but selection is basis
We are looking to hire incredible Python Developers interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together.
Interview Preparation Tips
• Excellent understanding of machine learning techniques and algorithms, such as Neural
Network, Random Forest, Gradient Boosting
• Experience with common data science toolkits, such as Anaconda, Python, SQL
• Strong data visualization skills and ability to present insights from analysis.
• Proficient in writing queries using SQL.
• Good programming skills in Python, with an ability to write production ready code.
Nice to have:
• Experience with working with version control software like Git etc.
• Experience with AWS Stack, Apache Spark is preferred.
(2 Questions)
- Q1. Number of Duplicate words in a string
- Ans.
Count the number of duplicate words in a string.
Split the string into words using a delimiter like space or punctuation.
Create a dictionary to store the count of each word.
Iterate through the words and increment the count in the dictionary.
Count the number of words with count greater than 1 as duplicates.
- Q2. Chunking in LLM
- Ans.
Chunking in LLM refers to breaking down text into smaller chunks for better processing by the language model.
Chunking helps improve the efficiency of the language model by breaking down large text inputs into smaller segments.
It can help the model better understand the context and relationships within the text.
Chunking is commonly used in natural language processing tasks such as text summarization and sentiment analys
Skills evaluated in this interview
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GrowthJockey Data Scientist Interview Process
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