The most comprehensive bank Interview Answer Review tooling available online.

While determining the best model for a machine learning application for a customer classification model, I suggested a two model approach while my team member suggested a single model approach. We discussed the pros and cons during a whiteboarding session, agreed on the two model approach and would fall back to the one model approach if the two-model approach did not drive client success. The model was successful.

This is a product which we release recently it would check the recent breaches that happened exploiting certain vulnarability in the recent past and also check the vulnarabilties in the infrastructure and then provide a score based on severity. the higher the severity the higher the chance of getting breached. This was a great hit but two of our customers came back with a specialised request, the wanted to quantify the severity in terms of revenue loss so it would help them prioratize fixes on the infrastructure. This not only required heavy research but also defining the scope as well that where it fits in. The reason it was important to think about this feature because it was a big contract and our company wanted close it before the end of Q2. I had a planning sessions with the stake holders and product team, we defined the scope of the feature and then communicated with the customer and got all the buy ins, there had to be some repriorization required to imediatle start working on the project, I had a chat with my team and transperantly explained why this was such a high priority for the company and how it aligns with the company goals. This gave boosted their morale and also they saw the advantages of adding this feature and the moral was high.

When buildling the next generation instance, during the planning phase I budget the amount of servers we will launch the product with. Given each server cost was over 2 million dollar I biased to towards frugality and provided a bare minimum number of server we could launch with. But what I completely missed was during the developement some servers will end up in bad state and the engineering team will short of servers to test the software and firmware getting built which made meeting the project timeline riskly and heavily dependent on delivery schedules of servers and them staying healthy. This quickly became a bottleneck that I realized. I quickly put togther a plan to request adittional server and provide a detailed breakdown on where and how these would be used during and after developement. Synced with the hardware and ODM team and executives to get a approval and ordered the parts to get the servers and racks build at ODM.