Lobb Logistics Interview Questions and Answers

I have worked on various projects ranging from data analysis to machine learning models.

• Developed a sentiment analysis model using natural language processing techniques

• Implemented a recommendation system based on collaborative filtering algorithm

• Worked on a predictive maintenance project for optimizing equipment performance

EfficientNets are a family of convolutional neural networks that have been designed to achieve state-of-the-art accuracy with fewer parameters and FLOPS.

• EfficientNets use a compound scaling method to balance network depth, width, and resolution for optimal performance.

• They are based on a baseline network architecture called EfficientNet-B0, which is then scaled up to create larger models like EfficientNet-B1, Efficient...read more

Transformers architecture is a deep learning model that uses self-attention mechanism to process sequential data.

• Transformers consist of an encoder and a decoder, each composed of multiple layers of self-attention and feed-forward neural networks.

• Self-attention mechanism allows the model to weigh the importance of different input tokens when making predictions.

• Transformers have achieved state-of-the-art performance in ...read more

Find the longest subarray of strings in a given array.

• Iterate through the array and keep track of the current subarray length.

• Reset the subarray length when encountering a non-string element.

• Return the length of the longest subarray found.

Experienced cluster manager with a proven track record in team leadership and strategic planning.

• Over 5 years of experience in managing multiple teams and projects simultaneously

• Strong leadership skills with the ability to motivate and inspire team members

• Expertise in strategic planning and execution to achieve organizational goals

• Excellent communication and interpersonal skills for effective team collaboration

• Proven t...read more

Seeking new challenges and growth opportunities in a dynamic field.

• Interested in leveraging my skills and experience in a new environment

• Excited about the potential to work on innovative products

• Looking for opportunities to expand my knowledge and expertise

Yes, I frequently use food delivery apps like Swiggy.

• I use Swiggy at least a few times a week for ordering food.

• I appreciate the wide variety of restaurants and cuisines available on Swiggy.

• Improvement suggestion: Enhance the user interface for a smoother ordering experience.

• Improvement suggestion: Implement a more accurate delivery time estimation system.

• Improvement suggestion: Offer more personalized recommendations

Northstar metric is the key metric that drives the core value of a product. For Swiggy, the northstar metric could be Daily Active Users (DAU) or Orders per User.

• Northstar metric is the single metric that best captures the core value that your product delivers to customers.

• For Swiggy, the northstar metric could be Daily Active Users (DAU) as it represents the number of unique users who engage with the platform on a dai...read more

I worked on improving the adoption of a new feature by conducting user research, implementing user feedback, and creating targeted marketing campaigns.

• Conducted user research to understand user needs and preferences

• Implemented user feedback to make necessary improvements to the feature

• Created targeted marketing campaigns to promote the feature to the right audience