Developed a portal from ground-up using the React.js (UI) and Python Flash (REST Server) and hosted using nginx. The entire project was done end-to-end by myself. The visulizatio pars has been developed using variouschart libs, and ag-grid for all tabular data display needed. More importantly, the data store has been on Elasticsearch such that the application supports both segmentation and dashboard needs of the internal users.

Handful of data algorithms harnessed together to support the business to get access to the quality data. Keeping that as a goal, developed "data enrichment" tool (actually it is a host of many, or put it otherwords, it defines a workflow that brings both manual and automated processes work seamlessely) to achieve the end goal.

For internal business development, the following projects in Machine Learning and Data science under taken broadly -

1. Customer Churn Anaysis: Statistical models developed that highlights focus customers (models developed using Bayesian estimation techniques leveraged by stan with suitable priors and posteriors)

2. Marketing ROI: Several models that evalue the efficacy of dollar being spent

3. Customer Experience: This is being measured continuously by leveraging both internally and external data.

C++ backend

React Js frontend

React Native

ZMQ

Websocket for client communication