Jet2 Travel Technologies Interview Questions and Answers

The probability of drawing a ball with a number that is a multiple of 2 or 5 from a box of 10 balls numbered 1 to 10.

• Calculate the total number of balls that are multiples of 2 or 5 (2, 4, 5, 6, 8, 10)

• Divide the number of favorable outcomes by the total number of balls in the box (6/10)

• Simplify the fraction to get the probability (3/5 or 0.6)

I am passionate about using data to solve complex problems and make informed decisions.

• Fascinated by the power of data in uncovering insights and patterns

• Enjoy working with statistics and machine learning algorithms

• Believe in the potential of data science to drive innovation and improve processes

Yes, I have completed a project on predicting customer churn using machine learning algorithms.

• Developed a predictive model using Python and scikit-learn

• Performed data preprocessing, feature engineering, and model evaluation

• Achieved an accuracy of 85% in predicting customer churn

• Used decision trees, random forests, and logistic regression for modeling

My long term goal is to become a senior software engineer and eventually a tech lead, leading a team of developers to create innovative solutions.

• Continuously improve my technical skills through learning new technologies and best practices

• Gain experience in different areas of software development such as backend, frontend, and mobile development

• Work towards obtaining certifications or advanced degrees in computer scien...read more

RPA (Robotic Process Automation) automates repetitive tasks using software robots to enhance efficiency and accuracy in business processes.

• RPA mimics human actions to perform tasks like data entry and processing.

• It can integrate with various applications without changing existing infrastructure.

• Examples include automating invoice processing and customer support queries.

• RPA tools like UiPath, Blue Prism, and Automation ...read more

Handling conflicts within the development team

• Addressing communication issues promptly

• Encouraging open and honest discussions

• Facilitating team meetings to resolve conflicts

• Implementing team building activities to improve relationships

Random forest is an ensemble learning method used for classification and regression tasks.

• Random forest is a collection of decision trees that are trained on random subsets of the data.

• Each tree in the forest makes a prediction, and the final prediction is the average (regression) or majority vote (classification) of all the trees.

• Random forest is robust to overfitting and noisy data.

• It can handle large datasets with h...read more