Team Mirsis
Description Mirsis is a leading IT consultancy company in tailored banking and financial services solutions in Istanbul, Turkey. The R&D arm of the company develops cutting edge projects, spanning financial analytics with machine learning forecast and categorization models and modern web/mobile interfaces. Our solution will be a machine learning supported SME scoring model boosted with alternative sources of data, including cross-banking behavioral and demographic data, in addition to financial data of the companies. To be able to support near real time lending processes, financial analysis will be performed and be ready to be consumed by the lending processes. Given the line between individuals and micro-businesses converges, the model should take the combined rating constituents into serious consideration. The machine learning algorithms (DNN & LSTM RNN) will be ready to find more about the disparate classifications of the profiles and then forecast the applicable credit limit amounts within the behavioral and demographical characteristics. Though the request is to develop a scoring model itself, the value could be delivered by various channels like bank-to-customer, peer-to-peer, or even jamāʿāt-to-peer or vice versa. If we are required, our team will pivot various channels as the lending interface for our scoring model. HG and TM


Team Members
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  • Gather personally identifiable information such as name and location