Problem intelligence

Roman to Integer

EASY · 36 companies · Hash Table · Math · String

Interview priority

75

high

Target overlap

0/0

Recency

100

Trend

50

Frequency

100

Company observations

Accentureolder58.9
Accentureall57.2
Adobeolder57.5
Adobeall52.2
Amazon30d55.9
Amazon90d42.8
Amazon6m46.8
Amazonolder62.5
Amazonall61.2
AMDolder100
AMDall100
Appleolder38.3
Appleall39.4
Bloomberg90d46.8
Bloomberg6m45.6
Bloombergolder71.3
Bloombergall71.5
Booking.comolder76.5
Booking.comall59.2
Capgeminiolder56.8
Capgeminiall52.1
Cashfreeall66
Cognizantolder55.1
Cognizantall47.8
Deloitteolder53.7
Deloitteall50
DeltaXolder100
DeltaXall100
DoorDasholder27.8
DoorDashall27.3
EPAM Systemsolder55.1
EPAM Systemsall52.6
Expediaolder79.9
Expediaall64.9
Goldman Sachsolder22.5
Goldman Sachsall26.9
Google30d36.7
Google90d53.5
Google6m58.8
Googleolder65.9
Googleall65.6
IBM6m60.1
IBMolder86.7
IBMall82.9
Infosysolder46.7
Infosysall40.2
Meta30d53.8
Meta90d34.5
Meta6m56.1
Metaolder57.9
Metaall61.1
Microsoft90d57.2
Microsoft6m54.7
Microsoftolder68.4
Microsoftall69.2
Oracleolder57
Oracleall58
Pwcolder73.9
Pwcall73.6
Salesforceolder32.1
Salesforceall27.7
Snowflakeolder40.6
Snowflakeall46.4
tcs30d90.5
tcs90d85.9
tcs6m82.1
tcsolder47
tcsall64.1
TikTokolder35.6
TikTokall33
Tinkoffolder74.7
Tinkoffall74.4
Uber6m45.7
Uberall52.1
Virtusaolder100
Virtusaall76.9
Walmart Labsolder55
Walmart Labsall52.6
Warnermediaolder100
Warnermediaall78.1
Wixolder85.7
Wixall75
Yahooall96.9
Yandexolder29
Yandexall27.1
Zohoolder68.5
Zohoall65.7

Why this score

high frequency100
recent activity100
unsolved100

Local progress

unseen

Open on LeetCode