Klaviyo Data Scientist | March 2021
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Company: Klaviyo
Position: Data Scientist
Location: nan
Level: Associate/Entry Level
Outcome: NA
How was the interview process? What was it like?
easy , need more details on their expectation
What technical questions were asked?
Modeling and ML Knowledge, Probability, AB Testing & Statistics
What was one of your solutions?
# performing aggregation
aggregated_data = data.groupby(['customer_id','gender']).agg({'date':['max'],'customer_id':['count']})# renaming columns
aggregated_data.columns = [ 'most_recent_order_date','order_count']
#Applying multiple aggregation functions to a single column will result in a multiindex data frame which is difficult to use
# Hence resetting index to get back grouped columns
aggregated_data = aggregated_data.reset_index()
# Sorting in ascending order of customer_id
aggregated_data=aggregated_data.sort_values(by=['customer_id'])
print('Result Exercise 1')aggregated_data.head(10)
Data Scientist
There's so much more to Interview Query
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