Dec, 2016 - Oct, 2017
We worked on an interesting framework for Loanzen - a leading NBFC lending to unregulated and unorganized SME sector in India to help them collect and process data for their credit model. Their lending model is unique and they needed a system that can continuously monitor the creditworthiness of their customers. We designed an Android SDK that allowed them to capture different interesting data points from their customer’s mobile without impacting their privacy or battery life and experiment with that to identify attributes/features that can be used in their credit model.
We also designed our version of the hierarchical Naive Bayes Algorithm to automatically tag nontransactional SMS messages into different hierarchical categories such as banking, online shopping, loans, payments, etc. We then further processed the banking SMS to create a life continuously updating/live bank statements of their customers. We also built a notification engine that processed this data and generated alert based on some conditions
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We recently built an embeddable self-serve BI tool for Pashi - a YC startup that is building operating systems for manufacturing.https://pashi.com
We re-architected Xapo entire transactional fraud detection system and made it more reliable and performant