Mission: Our mission is to revolutionize travel through the power of technology.
Vision: We are the Worlds Travel Platform. Our purpose is to bring the world within reach.
How do you avoid overfitting?
How do you handle an imbalanced dataset?
What is the difference between LSTM and RNN?
What is batch normalization?
Develop a solution for the revenue optimization team using a structured dataset that describes the historical bookings of their hotels, which had the following attributes: number of people, booking times, arrival times, departure times, hotel features, prices, whether booked or not, etc.
Develop a recommendation system.
Hotel price prediction.
Machine learning questions about SVM, regression and decision tree.
Explain the meaning of overfitting to non-technical people.
1-2 case studies on traveling issues, e.g. which flight path is more profitable london-paris or london-majorca? Or should we invest on buying more property in Bath or central London? And, explain the logic behind your choices.
Stage 1: Phone screen with recruiter
Stage 2: Phone interview with hiring manager
Stage 3: At-home assignment
Stage 4: Onsite interview The onsite includes a presentation and 3 more interviews. The interviewers are data scientists, software engineers, and other managers. There is a strong emphasis on machine learning.
Pathrise is a career accelerator that helps people land their dream jobs. We regularly place our fellows at top companies like Apple, Amazon, and Meta. Our mentors have experience at companies like Apple, giving fellows the inside scoop on interview and company culture in 1-on-1 sessions.
We can’t guarantee you a job at a specific company like Apple. But we do guarantee you a great job–if you don’t accept an offer in 1 year, you pay nothing. Our income share agreement means you only pay with a percentage of your income at your new role.
Mentors work with fellows at every stage in search, helping them build the skills necessary to be the best candidate possible. Fellows in Pathrise usually see a 2-4x increase in application response rates, 1.5-3x increase in interview scores, and 10-20% increase in salary through negotiation.