Maha, I wanted to resurrect this thread and invigorate some discussion as we have a GSOC prospect, Lalit, considering a project focused around machine learning. I've added him to this thread and going to also add the team at BowPI so they can contribute to the discussion around what they've done on the machine learning front to date.
Ed On Thu, Nov 9, 2017 at 4:58 PM, Avik Ganguly <avikganguly...@gmail.com> wrote: > 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> > > > -- *Ed Cable* President/CEO, Mifos Initiative edca...@mifos.org | Skype: edcable | Mobile: +1.484.477.8649 *Collectively Creating a World of 3 Billion Maries | *http://mifos.org <http://facebook.com/mifos> <http://www.twitter.com/mifos>