Difference between revisions of "IS484 Project Wiki AY2020/21 Term 1"

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|width="60%"|<!-- Project Description --> '''Private Banking Client Dashboard (Version 1)''' - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
 
|width="60%"|<!-- Project Description --> '''Private Banking Client Dashboard (Version 1)''' - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
 
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|width="15%"|<!-- Team Name / Wiki Link--> [[Finternational]]
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|width="15%"|<!-- Team Name / Wiki Link--> [[Finternational|'''Finternational''']]
 
|width="20%"|<!-- Team Members -->  
 
|width="20%"|<!-- Team Members -->  
 
MAY Myo Myint Myat <br>
 
MAY Myo Myint Myat <br>
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|width="60%"|<!-- Project Description --> '''Predictive Analysis of Risk Utilization''' - Citi's institutional clients place millions of orders on any given trading day through its electronic execution platforms. As orders come in through Citi's systems, they are evaluated against several risk parameters(such as credit limits) before the order is sent to the market. While currently, breaches in these parameters can be identified the moment the orders are placed, the next gen evolution of this risk management system requires predictive analytics of such breach events. This will enable Citi's clients and client facing officials to prevent regulatory violations, navigate trading disruptions by proactively take measures to prevent such breaches by allocating funds/ changing their trading strategy etc.
 
|width="60%"|<!-- Project Description --> '''Predictive Analysis of Risk Utilization''' - Citi's institutional clients place millions of orders on any given trading day through its electronic execution platforms. As orders come in through Citi's systems, they are evaluated against several risk parameters(such as credit limits) before the order is sent to the market. While currently, breaches in these parameters can be identified the moment the orders are placed, the next gen evolution of this risk management system requires predictive analytics of such breach events. This will enable Citi's clients and client facing officials to prevent regulatory violations, navigate trading disruptions by proactively take measures to prevent such breaches by allocating funds/ changing their trading strategy etc.
 
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|width="15%"|<!-- Team Name / Wiki Link--> [[AltitudePlus]]
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|width="15%"|<!-- Team Name / Wiki Link--> [[AltitudePlus|'''AltitudePlus''']]
 
|width="20%"|<!-- Team Members -->  
 
|width="20%"|<!-- Team Members -->  
 
Xavier LUR Zhengbang <br>
 
Xavier LUR Zhengbang <br>
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|width="60%"|<!-- Project Description --> '''Customer Mailing Address Analysis''' - Addresses of people and businesses contain important information about them. More data about the locations of those addresses is required to get some insight from addresses. For example the population, geographic and economic indicators, crime rates etc. can be helpful. We need to collect such information about countries and cities to make the addresses usable in models and other analytics.
 
|width="60%"|<!-- Project Description --> '''Customer Mailing Address Analysis''' - Addresses of people and businesses contain important information about them. More data about the locations of those addresses is required to get some insight from addresses. For example the population, geographic and economic indicators, crime rates etc. can be helpful. We need to collect such information about countries and cities to make the addresses usable in models and other analytics.
 
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|width="15%"|<!-- Team Name / Wiki Link--> [[MarTechX]]
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|width="15%"|<!-- Team Name / Wiki Link--> [[MarTechX|'''MarTechX''']]
 
|width="20%"|<!-- Team Members -->  
 
|width="20%"|<!-- Team Members -->  
 
Charmaine TAY Shi Yun <br>
 
Charmaine TAY Shi Yun <br>
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|width="60%"|<!-- Project Description --> '''Marketing Audience Segmentation (Version 1)''' - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
 
|width="60%"|<!-- Project Description --> '''Marketing Audience Segmentation (Version 1)''' - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
 
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|width="15%"|<!-- Team Name / Wiki Link--> [[The Miners]]
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|width="15%"|<!-- Team Name / Wiki Link--> [[The Miners|'''The Miners''']]
 
|width="20%"|<!-- Team Members -->  
 
|width="20%"|<!-- Team Members -->  
 
CHEN Ziyi <br>
 
CHEN Ziyi <br>
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|width="60%"|<!-- Project Description --> '''Marketing Audience Segmentation (Version 2)''' - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
 
|width="60%"|<!-- Project Description --> '''Marketing Audience Segmentation (Version 2)''' - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
 
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|width="15%"|<!-- Team Name / Wiki Link--> [[DataNut]]
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|width="15%"|<!-- Team Name / Wiki Link--> [[DataNut|'''DataNut''']]
 
|width="20%"|<!-- Team Members -->  
 
|width="20%"|<!-- Team Members -->  
 
Damian ER Zhong Ying <br>
 
Damian ER Zhong Ying <br>

Revision as of 16:22, 29 August 2020

Team Name / Wiki Link Team Members Project Description
CityDash

Zoe WANG Zi Hui
NG Jun Hong
Nicole CHAI Ying Jie
Jeremy LIM
Danston GOH Kheng Boon

Private Banking Client Dashboard (Version 1) - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
Finternational

MAY Myo Myint Myat
Benedict THEN Ji Xiang
Harvey Kristanto
KOK Su Yee
PHYO Yi Win Myint
SIN Myeong Eun

Private Banking Client Dashboard (Version 2) - Citi Private Bank (CPB) Investment Counsellors and Advisors provide frequent consultation to HNWI and UHWNI (high and ultra-high net-worth individuals) on how to manage their Investment portfolios. In order to perform their job they need high speed access to a client's positions, real-time market data and publicly available sentiment on the portfolio's constituents. The portfolio is usually composed of capital market securities and various funds (hedge, mutual, real estate, private equity). Careful thought needs to be put into providing an enriching UX / UI and leveraging machine / deep learning capability to provide robust recommendations. The users will use the information to pro-actively and also reactively service CPB's HNWI and UHNWI clients.
TBD

Rohan MEHTA
Akshat GOEL
WEI Jiaqi
YANG Fan
Gracia KWAN Yuwono
R Jeyavani RAJA

Predictive Analysis of Risk Utilization - Citi's institutional clients place millions of orders on any given trading day through its electronic execution platforms. As orders come in through Citi's systems, they are evaluated against several risk parameters(such as credit limits) before the order is sent to the market. While currently, breaches in these parameters can be identified the moment the orders are placed, the next gen evolution of this risk management system requires predictive analytics of such breach events. This will enable Citi's clients and client facing officials to prevent regulatory violations, navigate trading disruptions by proactively take measures to prevent such breaches by allocating funds/ changing their trading strategy etc.
AltitudePlus

Xavier LUR Zhengbang
TRUONG Hai Bang
Timothy SOH Ern Zher
TAN Hui Rong
LIU Zuo Lin
WAN Ding Yang

Customer Mailing Address Analysis - Addresses of people and businesses contain important information about them. More data about the locations of those addresses is required to get some insight from addresses. For example the population, geographic and economic indicators, crime rates etc. can be helpful. We need to collect such information about countries and cities to make the addresses usable in models and other analytics.
MarTechX

Charmaine TAY Shi Yun
Felicia LIM Li Ying
TAN Shu Hui
TEO Min Si
CHUA Pei Wei

Marketing Audience Segmentation (Version 1) - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
The Miners

CHEN Ziyi
CHEW Hui Ling
Zi WANG
Nurul Khairina Binte Abdul KADIR
TAN Chou Leong

Marketing Audience Segmentation (Version 2) - Citibank sends merchants’ offers to the relevant customers. For example customers who often buy sports gear should get sports related offers and foodies should get offers from the restaurants. This requires accurate segmentation of customers as well as merchants. 3rd party data can be used to improve marketing audience segmentation.
DataNut

Damian ER Zhong Ying
CHYE Soon Hang
Don TAN Kok Jun
Jolie AW Yue Pin
Janell LEE Jia Ern

Robo-Advisor - Student defined project. A robo-advisor that will; classify customers based on their investment experience and risk appetite, recommend a portfolio of investments to customers, provide visualizations / analysis of the customer's investment portfolio, and provide a budgeting and savings dashboard as an extension or the above.