UST Business Intelligence Analyst Interview Questions and Answers

Very Basic Test of logic , quants and verbal

Topic was given to discuss and reach conclusion

Q1. Basic formal questions and expectations
Add your answer

NER training using deep learning

Q1. Describe the approach taken for assignment
Ans. 
I approach assignments by breaking them down into smaller tasks, setting deadlines, and regularly checking progress.
• Break down the assignment into smaller tasks to make it more manageable

• Set deadlines for each task to stay on track

• Regularly check progress to ensure everything is on schedule

• Seek feedback from colleagues or supervisors to improve the quality of work
Answered by AI
Add your answer
Q2. Scenario based questions
Add your answer

They gave a span of 3 days to build an AI-powered webapp

Q1. How would you go about learning a new skill
Add your answer
Q2. Experience in cloud technologies
Ans. 
I have experience working with cloud technologies such as AWS, Azure, and Google Cloud Platform.
• Experience in setting up and managing virtual machines, storage, and networking in cloud environments

• Knowledge of cloud services like EC2, S3, RDS, and Lambda

• Experience with cloud-based data processing and analytics tools like AWS Glue and Google BigQuery
Answered by AI
Add your answer

Q1. Tell me about yourself
Add your answer
Q2. Project details and challenges faced in the project
Ans. 
Developed a predictive model for customer churn in a telecom company
• Collected and cleaned customer data from various sources

• Performed exploratory data analysis to identify key factors influencing churn

• Built and fine-tuned machine learning models to predict customer churn

• Challenges included imbalanced data, feature engineering, and model interpretability
Answered by AI
Add your answer

Q1. 1. Basics of Python 2. Basics of ML like supervised and unsupervised learning
Add your answer

Bulb and switch puzzle

Rope burning and length question

Q1. Why you want to join optum
Add your answer

Q1. Why do you want to join kyndryl?
Add your answer
Q2. Goals and ambitions towards kyndryl?
Add your answer

Basic DP, Array Questions

Q1. Resume Walkthrough and Discussion, Medium level coding questions
Add your answer

Q1. Discussion with Manager
Add your answer

Q1. Normal HR round
Add your answer

Easy array questions.

Q1. Explain projects from resume.
Ans. 
Developed a machine learning model to predict customer churn for a telecom company.
• Used Python and scikit-learn to preprocess data and build the model

• Performed feature engineering to improve model performance

• Evaluated model using metrics like accuracy, precision, and recall
Answered by AI
Add your answer
Q2. Questions on image processing and computer vision.
Add your answer