
A buzz of excitement and confusion hit participants of the Amazon ML School as just 30,000 out of 130,000 made it through the SOP round. With the Online Assessment (OA) looming on June 28, many are seeking clarity on communication around the next steps.
Although 30,000 candidates celebrate their shortlist status, many are left wondering about their OA details. Some have received emails, while others are still waiting. One candidate noted, "I've been shortlisted according to the unstop website but haven't received any email." This inconsistency raises questions about the communication process within the selection body.
As the OA date approaches, candidates are turning to various forums for insights and preparation tips. A previous participant from last yearโs ML summer school offered help, stating, "If anyone needs any help, you can DM." Meanwhile, many are exchanging resources and asking for assistance with preparation for the OAโconsisting of 22 questions on math and machine learning topics.
"The OA is of 1 hour on June 28, between 2-6 PM," mentioned a candidate, highlighting the structured yet compact format of the assessment.
Shortlisted but Uninformed: Several candidates are questioning their lack of email notifications regarding the OA despite being shortlisted, causing confusion.
Peer Support: Many community members are stepping up, offering support and resources to those preparing for the OA.
Scattered Communication: The community is divided in their experiences with notification processes, leading to an undercurrent of dissatisfaction.
๐น 30,000 candidates shortlisted from 130,000 applicants.
๐ธ OA scheduled for June 28, with time slots limited to a few hours.
โ Community actively shares preparation resources for better outcomes.
As June 28 nears, candidates continue to vocalize their frustrations regarding the uneven communication, but many are eager to succeed and are pooling resources to better equip themselves for the OA. The outcome will ultimately highlight how well these hopefuls can adapt and learn through collaboration in their pursuit at the Amazon ML School.