Hi Maha, Welcome to the community! Cognitev looks like an exciting startup. The current developments going on in Fineract; i.e. the upcoming Fineract CN application probably makes this the right time to initiate this effort as ML services usually needs to scale separately and the independence of choosing a separate tech stack for these services matters a lot.
Adding a bit on one part that Ed wrote - "monitor ongoing credit risk". In the microfinance space, the most recurring problem statement I have heard from risk heads in India is collusion by loan officers to meet targets with / without ringleaders which is addressable through early warning systems. Looking forward to working with you. With best regards, Avik Ganguly. On Wed, Nov 8, 2017 at 9:02 PM, Ed Cable <edca...@mifos.org> wrote: > Hello community, > > > I wanted to introduce to you a new Mifos Initiative volunteer, Maha Refai > <https://www.linkedin.com/in/maharefai/>, who will be reaching out to > members of the community to document their requirements around credit and > risk analytics using artificial intelligence, machine learning and big > data. > > Maha Refai is currently the co-founder and Head of Product at Cognitev, a > startup based in UAE and Egypt using artificial intelligence to automate > digital marketing. After receiving her bachelor’s in Computer Science she > spent the past ten years primarily in product and project management in the > entertainment industry while also getting her MBA. > > > She will be reaching out to some of you directly and documenting her > findings on the wiki. But if you'd like to be part of this requirements > gathering process, please reply to this thread and we'll set up a call. > > Based on her knowledge and expertise of artificial intelligence and machine > learning, she is going to help develop a product management strategy for > both the current Apache Fineract platform and the upcoming Apache Fineract > CN application framework that identifies and prioritizes what are the > necessary microservices and modules that are part of the framework or > integrated with it to facilitate the capture of data, the analysis of it, > and the ability to make decisions upon the data. > > In short, volunteer will help identify how these predictive analytical > tools along with big data can help make Mifos and Apache Fineract more of a > loan origination system, as well as means of developing a credit score to > manage and monitor ongoing credit risk. You can see below for some more of > the specific tasks she’ll be undertaking. > > > - > > Research on existing open source tools or libraries that could be > integrated for machine learning such as weka. > - > > Research on alternative credit scoring tools that are in existence > - > > Interviews with existing community members to discuss systems they have > implemented or how they’ve been able to do these data analysis using the > existing Mifos toolset. > - > > Interviews with existing community members who have desires to implement > credit scoring capabilities and big data analytics including stewarding > these conversations over our community mailing lists and documenting > requirements publicly > - > > Recommendations on a strategy of how to implement such features - either > as core microservices or ancillary modules. > - > > User Stories on actual features to implement within the framework or > product. > - > > Brainstorm and list out the insight and information that could be > analyzed so we can understand what data about the customer, their > behavior > and their loans must be captured in the framework and platform. > > > > -- > *Ed Cable* > President/CEO, Mifos Initiative > edca...@mifos.org | Skype: edcable | Mobile: +1.484.477.8649 > <(484)%20477-8649> > > *Collectively Creating a World of 3 Billion Maries | *http://mifos.org > <http://facebook.com/mifos> <http://www.twitter.com/mifos> >
