eso. Basically, I'm currently looking at the senior date engineer with the ultra enteric science. See, that is in Jordan. You tried. So So I am a computer science background. Bachelors on. Then I worked in India like a two years with the pro technologies as a data engineer. And then I came here for my master's. So basically, since I worked as a data in your marriage, her choosing this but to be on the data for best. So emphasis kind off data related and analytics related eso I came here and choose this track. And I graduated and after offered radiating from the you I got the job, del, that it is to be you TMC and then I can use a couple of jobs And currently that working in the under intermix. So, uh, yeah, as a junior on a regular basis, the posters. But I took at the university of future like they kind of streamline with what I'm doing today.

basically high offices just there it is, like five minutes away from my house. So it doesn't matter if I work from home, but yes, they're like a If you're in the office, the collaboration is kind of easier on you. Cannot feel gets like a proper work life balance. Like where to stop your work and where toe have the person life. If you are going to the office, you have that like a hook. Heaven I'm in office are noodling that, like my office work is an office and then But here, if you're working from home, you need to dry line where you distinguish between. Okay, Now, I should stop working and start spending that something like that. So, uh, yeah, coming to that. I look on that I'm a day 10 years. So I woke on creating data pipelines, getting the data from source tradition Nation doing the data modelling dimension Morning on. Then I will, with business analyst on Dead analyst to create the reports that they want in Barbie. You used the tablet also, but, uh, we also use some mining data. Mining of their techniques were first on my analysis and forecast, so this killing the things that we learned that the U on London, the job anything related to data I'm bring there.

we use. We use data mining for the forecast, so under differences. So if you see the data science bill, it is kind off not mature enough. If I can say that like a because people all over the industry are using different different tools like they're like some are using actually. Now this When this cloud came into the picture. So there are like on Frum's sequence error and then cloud in the clothes that have multiple readies like I hear like Google kloden Amazon cloud on. Then there is a big, all over hardwood kind of infrastructure out there. So the thing has become like this, like they have already come up with some kind of solutions. So we were doing some forecasts based on the court impact. Like we reduced our goal forecast. Andi wantedto predict, like what should be our goals. And are we going to meet the mark mark s o n off? Like I work on the day tinier inside. I don't work much on the data mining algorithm side, but the technology has a world in this field that you don't need to more a lot of things on the later science. So you. All you need to be is prepare your data set in the proper way on. Then yes, you need the knowledge, but not to the extent that you should have. Like you should write a alerted them or something like that. It is like if you understand, like what this other than will do, That should be enough, Onda. We prepared the data and then we just click one button that being grand, everything all algorithms that we need and then predicted, like the Captain Littles and asked to choose top three. So, yeah, that that is how the NATO science is currently now. But that is with medium level cos I know that with the top level companies, start approach is different. They do speaking. And I love that stuff. But currently, in most of the company's Anuta like it is like that