Chart Industries Lead Data Scientist Interview Questions and Answers

Q1. What is an inactive relationship in PBI
Ans. 
An inactive relationship in Power BI is a relationship that is not being used in any visualizations or calculations.
• Inactive relationships can occur when a relationship is created but not utilized in any measures or visuals.

• These relationships do not impact the data model or query performance, but can clutter the model view.

• To remove an inactive relationship, you can delete it from the relationship view in Power BI.

• Ina...read more
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Q2. Import vs Direct Query vs Live connection
Ans. 
Import vs Direct Query vs Live connection
• Import: Data is imported into the tool for analysis, suitable for small datasets or when real-time data is not required

• Direct Query: Data is queried directly from the source in real-time, suitable for large datasets or when up-to-date data is needed

• Live connection: Data is connected live to the source, allowing for real-time updates and analysis without storing data locally
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The test was psychometric and aptitude. Interview was easy.

Q1. What are your views on Generative AI.
Ans. 
Generative AI is a powerful technology that can create new content based on existing data.
• Generative AI uses neural networks to generate new content such as images, text, and music.

• It has applications in various fields like art, music composition, and even creating realistic deepfake videos.

• Examples include OpenAI's GPT-3 for text generation and DeepDream for image generation.
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Q1. Couple of leetcode medium questions (i think it was around 3 questions) and they had their own platform
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Q1. Tell me about the project you have worked recently
Ans. 
Developed a predictive analytics model to forecast customer churn for a telecom company
• Used Python and SQL to clean and analyze customer data

• Implemented machine learning algorithms such as logistic regression and random forest

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. What kind of forecasting have you done
Ans. 
I have experience in time series forecasting using statistical models and machine learning algorithms.
• Utilized ARIMA model to forecast sales data for a retail company

• Implemented Prophet algorithm to predict stock prices for a financial institution

• Used LSTM neural network for demand forecasting in supply chain management
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Excel assessment- was made to make a report from multiple sheets

Q1. DAX Related Syntax and Codes
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Q2. Data Modelling, SQL, Python
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Q1. No Response from HR after calling of selection after Round 1
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Q1. Basic sql questions
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Q2. Basic tableau questions
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