IS484 AY2020/21 Term 1: AltitudePlus
Contents
Customer Mailing Address Analysis
Altitude+ Team Members
| Name | Role | |
|---|---|---|
| Soh Ern Zher Timothy | timothy.soh.2017@sis.smu.edu.sg | Project Manager |
| Tan Hui Rong | huirong.tan.2017@sis.smu.edu.sg | Frontend Developer |
| Xavier Lur Zher Bang | xavier.lur.2017@sis.smu.edu.sg | Frontend Developer |
| Liu Zuo Lin | zuolin.liu.2017@sis.smu.edu.sg | Backend Developer |
| Truong Hai Bang | hbtruong.2017@sis.smu.edu.sg | Backend Developer |
| Wan Ding Yang | dingyang.wan.2018@sis.smu.edu.sg | Backend Developer |
Faculty Supervisor
| Name | |
|---|---|
| Professor Alan Megarel | alanmegargel@smu.edu.sg |
| Professor Dennis Ng | dennisng@smu.edu.sg |
Sponsor
Citibank (Citi Ventures)
| Name | Role | |
|---|---|---|
| Yuqian Song | yuqian.song@citi.com | Head of APAC / EMEA Data Services and Head of Global Advanced Analytics Technology Solutions |
| Ashish Awasthi | ashish.awasthi@citi.com | Citibank Project Lead |
Project Overview
Project Description and Motivation
Addresses of people and businesses contain important information about them and Citibank is currently exploring the space of address analytics to gather address data usable in models and analytics.
We will be developing an internal application for Citibank to periodically collect address-related data from multiple public data sources, pre-process and analyse the data. We aim to generate insights that supplements Citibank's existing models and use cases, such as targeted financial offering recommendations to enhance the experience for both customers and businesses.
Stakeholders
| Stakeholder Type | Description |
|---|---|
| Sponsor | Yuqian Song, Head of APAC / EMEA Data Services and Head of Global Advanced Analytics Technology Solutions |
| User |
Data analysts and architects at Citibank’s Global Consumer Technology (GCT) The GCT team is seeking an application that would 1. Collect information on countries such as geographical and economic indicators from reputable sources periodically 2. Process collected information and make the data available to lookup by country or region to be used by models and analytics queries. 3. Parse unstructured customer and merchant addresses and generate analytical insights on them. 4. Visualise the information and addresses in customisable formats such as charts and graphs 5. Enable the team to easily retrieve information and embeddings through API call 6. Enhance Citibank’s existing model using the additional information collected |
| Advisors / Practitioners / Mentors |
Alan Megargel - Contact point from SMU Dennis Ng - Contact point from SMU |
Deliverables
A proof of concept representing an internal application to be integrated with Citibank’s existing backend - an analytics tool that derives and generates actionable insights based on user-input addresses as well as open source data e.g. IMF, DBpedia, OneMap API etc.
Our application will be segregated into 2 sections - the frontend and backend application. We will also include comprehensive documentation detailing the functionalities and implementation of our applications.
