Study Purly

Company: Doselect

  • Business Intelligence Analyst

    My interview at DoSelect was highly engaging. The team asked relevant questions about data visualization using Tableau and Power BI. Their focus on data-driven decision-making stood out.
    Questions asked during the interview:

    1. How do you create interactive dashboards in Tableau to derive actionable insights?
    2. Can you explain the differences between Power BI and Tableau?
    3. What challenges have you faced while working with large datasets?
    4. How do you ensure data accuracy and consistency in reporting?
    5. Describe a situation where your data insights influenced business decisions.
    6. What techniques do you use for ETL (Extract, Transform, Load) processes?

  • DevOps Engineer

    DoSelect’s interview process was insightful and focused on practical DevOps practices. I was impressed by their use of Docker, Kubernetes, and CI/CD pipelines to streamline software delivery.
    Questions asked during the interview:

    1. What are the best practices for writing Docker files for microservices?
    2. How do you manage Kubernetes clusters for large-scale applications?
    3. Can you explain the process of setting up a Jenkins pipeline for continuous deployment?
    4. What strategies do you use for monitoring and logging in production environments?
    5. How do you handle infrastructure automation in cloud environments?
    6. How do you ensure high availability and disaster recovery in cloud deployments?

  • Data Scientist

    The interview process at DoSelect was challenging yet rewarding. The questions revolved around machine learning frameworks like TensorFlow and PyTorch, and I appreciated their focus on practical applications.
    Questions asked during the interview:

    1. How do you decide between using TensorFlow and PyTorch for a project?
    2. Can you explain how you handle imbalanced datasets in machine learning?
    3. What are the key considerations when deploying a machine learning model?
    4. How do you visualize data insights using Tableau or Power BI?
    5. Describe a time when you solved a complex data analysis problem.
    6. How do you ensure the interpretability of your machine learning models?

  • Cloud Engineer

    Interviewing at DoSelect was a fantastic experience. The technical discussions around AWS, Azure, and Google Cloud were insightful. The team’s knowledge and focus on cloud scalability impressed me.
    Questions asked during the interview:

    1. How do you design a scalable architecture on AWS for a high-traffic application?
    2. What are the key differences between AWS, Azure, and Google Cloud?
    3. Can you explain how Kubernetes helps in container orchestration?
    4. What steps do you take to optimize cloud resource costs?
    5. How do you ensure security compliance when deploying applications in the cloud?
    6. What experience do you have with CI/CD pipelines using Jenkins?

  • Software Developer

    The interview process at DoSelect was smooth and well-structured. The panel asked thought-provoking questions related to web development using React.js and Angular. Their emphasis on problem-solving and adaptability made the experience enjoyable.
    Questions asked during the interview:

    1. How do you optimize the performance of a React.js application?
    2. Can you explain the differences between SQL and NoSQL databases and when to use each?
    3. How do you approach debugging JavaScript code in complex applications?
    4. What are some challenges you’ve faced when working with RESTful APIs?
    5. How do you stay updated with the latest trends in web development?
    6. What strategies do you use to collaborate effectively with cross-functional teams?