Basically, I'm from India. And then in India I did my bachelor's in mechanical engineering so that I joined Pata Consultancy Services assistant. So I worked there for two years and then later on I gained my knowledge in my investing data. So I came to us Uh uh, Masterson Data Analytics. So I just, uh I ASM Masterson information systems are peaches. So after that. So I after condition my off my career s So I was like on during my initial 1st 1 to 2 months, I was like, I'm busy setting my job. But then that So what I thought was like a playing with the same job that I have done in back in India. So to get the extract eso later on after that So I got a data quality and list opportunity. Our little hotels I joined there and then after three months, I started learning about a new tool and that is Albrecht's. So which has, like, recently, gaining popularity. So then after that? So I did my people see on one of the product using our tax for each year and then we improve the efficiency of data quality analysis that waas eso my product manager like that. And then he attend me to do some more people to some on that are treks on application off its simple data analytics. So ready that job for, like, seven or eight months. So I jumped. I switch my and job to a different company. Uh, so that is a hospital healthcare company. So where they were using Albrecht's for data analysis and an immediate work. Eso where we used to, like, create reports using our tracks. So there there are. They're also for, like, eight months. Was that were working for Silicon Valley? Bad. Yeah. So here we're, like, working for, um, the automation. Because in the banking industry, right now, there are a lot of manual process that so that they're gonna Valley Bank wants to automate. So, yeah. So that's why I landed into this job. So my current role and then the destruction if, like, our sex idiot developer. Yeah. So that is it. Yeah.

so usually my working ourself like nine AM to fight here. So but now I got, like, eight to around 7 p.m. Because of the timing's onder my responsibilities in this probably that basically and the second all Turks develop Erfurt and Silicon Valley Bank. So they're like off school for this car wrecks in the banking industry so that, like people see because we're a new team into the canal, a bank, so they have room getting over this. So before this eso they were using, I heard from companies like PWC and alive so that everybody's, but they like the will. And then because of the cost of Tunis, they they hired me and about my person. My job right now is going no where we can implement all on. And where can we reduce the man a process on that there are doing right now? So right now is to like a brilliant by all the youth business and then on the implementation off. Everything are all tricks in tow. The bank. And then we wanted to go. We're going to move the altar, excite off the back military. And then I have been looking for like a couple of bridal. So, um, so I can say that our adjoining from like, glory. So I myself reduced a time gap up like printed charts of mine. Man referred to like that. That is like a few exchange. So our target is to, like, reduce our time frame up like, 10 days off my little book up to, like, five days, although there are, like, a lot off manual interventions in between. But then we wanted that sound like reducing the time frame, because we as Silicon Valley, we don't deal with the customers. So our customers are like many started companies and many venture capital companies on. We knew with a lot off our data on a lot of money in with me. So we don't, like, automate the process so that a company can quickly analyze, like the situation off the start up companies and then how they're performing. Based on that, we wanted to analyze everything. Yet

basically our taxes A local, A retired extort where we need, like, a basic understanding of programming languages, like a basic knowledge. If you know any programming language that is good on De. So there are, like, different expects with our tricks, it can be used for data validation. It can be used for eat here. It can be used for a missing learning. It can be used for statistical analysis. So it is like one in everything. So are right now, right from the beginning, during my initial working are killed in so most of my time was like using our treks combined with sequel. So in order to create the queries and then bringing the data on doing some automation and doing et al processes and then also it can be used to, like create extracts using Pablo and then it can be connected toe a multiple different sources like I'm son Richard, or the repeal or different tools right now. So I can see that the basic software knowledge would be the basic later by donor. Any programming language on also, if you want oh, book data science, and then you need to know the algorithms of the basic data. Nida's hands algorithms, like new bases, are market basket analysis. So water, American stock you wanted to perform on then there is like one more integration we can use fight on also can use are so if you know the difference after battles, we can integrate that with our tracks for better performance. Because born model cannot perform each ask everything. That'll where some morals we need fight on. That will be very good. And then, for some are big. Very good will be on that Yeah, if we can apply multiple different policies