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ML Knowledge

2 years ago

Tell us about any problems that arose while using supervised machine learning algorithms and how you approached solving them.

Data Scientist

Swiggy

LendingClub

Atlassian

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2 years ago

SQL

2 years ago

Describe your process for speeding up a slow SQL query.

Data Scientist

Swiggy

Twitch

Grafana Labs

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2 years ago

Statistics

2 years ago

Can you explain the concepts of normal and Poisson distributions and their key differences?

Data Scientist

Swiggy

InVision

Andela

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2 years ago

Behavioral

2 years ago

What do you see yourself doing in the next five years?

Data ScientistEngineering ManagerUX DesignerUX Researcher

Swiggy

DoorDash

Instana

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2 years ago

Statistics

2 years ago

What is the significance of the X and Y axes on a ROC curve, and how does it impact the analysis process?

Data Scientist

Swiggy

Ticketmaster

Robinhood

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2 years ago

Behavioral

2 years ago

If you were to get the Data Scientist job, how would you improve Swiggy?

Data Scientist

Swiggy

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2 years ago

ML KnowledgeML Case

2 years ago

Can you identify the problems that tend to surface with models that are heavily layered?

Data Scientist

Swiggy

Anaplan

Skyscanner

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2 years ago

Statistics

3 years ago

How do you decide which statistical test to use when working on a problem?

Data Scientist

Swiggy

Envoy

SeatGeek

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3 years ago

Statistics

3 years ago

What's the probability that you'll get heads twice in consecutive coin tosses?

Data Scientist

Swiggy

Waymo

Peloton

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3 years ago

ML Knowledge

3 years ago

Considering that you already have labelled data for your clustering project, what are some of the methods that you can use to evaluate model performance?

Data Scientist

Swiggy

Bolt

Coursera

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3 years ago

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^*All interview questions are submitted by recent Swiggy Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Swiggy.

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