Interview Questions

Abhishek V. - "Currently, there's no option to write Python code for the solution to this problem. Is it possible to add it?"See full answer

Arya R. - "I'm going to assume the problem is limited until the point of where the rider get into the car. Rider segments/characteristics: Local rider (lives and travels in the same city) Tourist rider (visiting a city, using Lyft for the first time in the city) Lets think about some problems for these types of users: Local rider: (Choose to prioritize on these use-cases assuming its a larger % of rides overall) Ride shows as confirmed, but driver does not move on the map Driver does"See full answer

Sh R. - "i responded using a multi sourced BFS and in place marking, then i checked the final grid to see if any free spots were left unmarked."See full answer

Ramesh Y. - "Clarifications: Is it passenger/cargo/defense Answer: Passenger Is it direct or stops included - Direct Last I read London had 80 M passengers annually Per month - 6.7 M Per Day - 220 K Assumption here - London is a hub and it has flights to all continents. Assumptions are the split below Flights to Europe -- 30% Flights to USA -- 20% Flights to Asia -- 30% Flights to Africa -- 10% Flights to Australia -- 10% Dubai is part of Asia - 30% of 220 K is 66K Within Asia - Passeng"See full answer

Ayush S. - "Consulted on building a mental healthcare marketplace, performed user research, and competitive analysis. Formulated business strategy shift from D2C to B2B and product roadmap for MVP, onboarded 100K+ users. Shift was based off changing market dynamics."See full answer

Kegomoditswe R. - "oracle"See full answer

Dawn H. - "discover what feature solves the biggest human pain point and has the lowest LOE for the highest ROI. Start there and then build a low-fi prototype to test that theory and gain user insights to drive any additional solutions discovery work, ensuring that you are building the right product at the right time, for the right audience."See full answer

Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

Gowtami K. - "select a.playername as player1, b.playername as player2, abs(a.level-b.level) as level_disparity from players a cross join players b on a.playername < b.playername where abs(a.level-b.level) <=5 order by level_disparity `"See full answer

Zenart S. - "My First Job Is the best, as a Service Crew and my second job as a Administrative Aide III you don't know how a Good Verbally communication and you didn't know what is your strength and weaknesses but Now I know what it is, and I know what is my goal in life"See full answer