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Koch Business Solutions Data Scientist Interview Questions and Answers
Koch Business Solutions Data Scientist Interview Experiences
1 interview found
Anonymous
Selected
I applied via Naukri.com and was interviewed before Mar 2022. There were 3 interview rounds.
(2 Questions)
- Q1. Deep dive into your DS projects and implementation. Some questions about MLOPS and cloud exposure. Basic ML questions
- Q2. Gradient descent Linear regression Time series questions Lightgbm and xgboost
(1 Question)
- Q1. Time series question on ARIMA , ML approach to time series
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Interview Questionnaire
2 Questions
- Q1. Three skills required to be a good data scientist?
- Q2. Answer: Curious , Extremely argumentative and judgemental
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
Selected
I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.
(3 Questions)
- Q1. Questions related to sampling
- Q2. Questions related to outlier
- Q3. Python basics questions
Basic maths and statistics questions
I applied via Company Website and was interviewed in Jun 2024. There were 2 interview rounds.
MCQS around aptitude and technical skills such as SQL, Python
(1 Question)
- Q1. Sql, Python, data science statistics
Interview Preparation Tips
Ammu Nandy
Selected
I applied via Referral and was interviewed in Feb 2024. There was 1 interview round.
(1 Question)
- Q1. Tell abt ur self
- Ans.
I am a data scientist with a background in statistics and machine learning, passionate about solving complex problems using data-driven approaches.
I have a Master's degree in Data Science from XYZ University.
I have experience working with Python, R, and SQL for data analysis and modeling.
I have worked on projects involving predictive analytics, natural language processing, and computer vision.
I am proficient in data vi...
Selected
I appeared for an interview before Sep 2023.
MCQ question stats & python based
As selected in step 1
(1 Question)
- Q1. Salary & relocation
Related to basic statistics, and case study on sample design
(2 Questions)
- Q1. Explain the answers of case study on aptitude test
- Q2. Sample design related questions
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
(1 Question)
- Q1. Tell me about scaling. ensemble techniques. precession, recall, f1 score, ROC AUC LSTM and RNN Feature selection and extraction optimization function loss functions word embedding word2vec tf-idf outliers...
Interview Preparation Tips
I applied via Recruitment Consulltant and was interviewed in May 2023. There were 3 interview rounds.
(3 Questions)
- Q1. Machine Learning algorithms
- Ans.
Machine Learning algorithms are used to train models on data to make predictions or decisions without being explicitly programmed.
Machine Learning algorithms can be categorized into supervised, unsupervised, and reinforcement learning.
Examples of supervised learning algorithms include linear regression, decision trees, and support vector machines.
Examples of unsupervised learning algorithms include k-means clustering, ...
- Q2. Overfitting and underfitting
- Q3. Questions related to the project
(2 Questions)
- Q1. Questions on project, how much time required for training model
- Q2. Version control, Flask/ Django, Cloud service experience
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Koch Business Solutions Data Scientist Interview Process
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