Blazeclan Technologies Data Analyst Interview Questions and Answers

2 coding questions in 45 min

Q1. Basics of java and frameworks
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Q2. Basics of SQL and types of queries
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30 min of logical reasoning and basic aptitude

30 min of GD over a general topic to check your communication skills

Q1. Why do you want to join our company
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Q2. Why should we hire you
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Q1. Machine Learning Basics
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Q2. ROC and AUC Differences
Ans. 
ROC and AUC are performance metrics used in binary classification models.
• ROC (Receiver Operating Characteristic) is a curve that plots the true positive rate against the false positive rate at different classification thresholds.

• AUC (Area Under the Curve) is the area under the ROC curve and is a measure of the model's ability to distinguish between positive and negative classes.

• ROC and AUC are commonly used to evaluate...read more
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Q3. Clustering Techniques
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Clustering techniques are used to group similar data points together based on their characteristics.
• Clustering is an unsupervised learning technique

• K-means, hierarchical, and DBSCAN are popular clustering algorithms

• Clustering can be used for customer segmentation, anomaly detection, and image segmentation
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Q1. SQL Basic Questions and Experience in type of SQL
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Q2. Charts and their required data types to plot them
Ans. 
Different types of charts require different data types to plot them.
• Line charts require numerical data

• Bar charts require categorical data

• Pie charts require numerical data that adds up to 100%

• Scatter plots require numerical data for both x and y axes

• Heat maps require numerical data for both x and y axes, and a third numerical value for the color intensity

• Bubble charts require numerical data for both x and y axes, and a ...read more
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Q1. Why do you want to work with our company
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Q1. Proficiency in cloud technology
Ans. 
Proficiency in cloud technology is essential for data scientists to efficiently store, manage, and analyze large datasets.
• Experience with cloud platforms like AWS, Azure, or Google Cloud

• Knowledge of cloud storage solutions like S3, Blob Storage, or Cloud Storage

• Understanding of cloud computing concepts like virtual machines, containers, and serverless computing

• Ability to work with big data technologies like Hadoop, Spa
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