ANLY482 AY2015-16 Term 2

From Analytics Practicum
Revision as of 00:27, 8 January 2016 by Wei.zheng.2012 (talk | contribs)
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About

Current Run

Projects Up For Grabs!

Grading & Deliverables

Downloads & FAQ

 


List of Projects


Title Analytics Practicum Description Student Member(s) Project Supervisor Sponsor
To be confirmed To be confirmed

Group01- Team Skulptors

  • LEONG Junkang, Gabriel
  • TAN Siying
  • ZHOU Xuanyi
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group02- Team TurnKEY

  • Kang Long
  • Elizabeth Tan
  • Yi Sheng, Lim
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group03- Team APSM

  • TAN Jhun Boon
  • YAP Jessie
  • OH Peng Ho
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group04- Team ATOM

  • Macus KHOO JunHao
  • YAN ShaoHong Chris
  • YO Wee King
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group05- Team AP

  • WANG Shyan Ann
  • NG Tse Siong
  • Sherman YONG Chin Wei
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
Skyscanner Content Analysis

The project aims to help with Skyscanner's analyse its content sites in order to facilitate better planning. It will help understand the factors that affect content performance.

Deliverables include creating a dashboard with visualizations that will help Skyscanner team to track the performance of articles across weeks and months, matched to trends and seasonality. It will be used to validate some of the intuitions they might have about certain content topics/types and to determine the best time to publish them. The dashboard will benchmark certain metrics against pageviews as well as additional attributes that Skyscanner does not currently analyse via Google Analytics, such as the impact of title, text length, theme of article and number of images.

The team will also analyse content pages to determine what differentiates good and bad content based on certain performance metrics. This will be done through Text Mining (Topic Analysis), Content Crawling, MLR and matching with Google Trends API.

Data set includes data from Skyscanner websites for the Singapore, Malaysia and Thailand markets.

Group06- Team SkyTrek

  • Aseem PRABHAT
  • Jedaiah TAN Jia Le
  • NGUYEN Viet Huy
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)

Ms. Antoinette Tan
Content Manager, APAC
Skyscanner

To be confirmed To be confirmed

Group07- Team YSR

  • Ridwan Ismeer
  • Sadhvi Ilango
  • Yashraj Jalota
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group08- Team AP

  • Erwin
  • Trinh Hiep Dang Khoa
  • Nyein Su Aye
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group09 - Team WeiDaSha

  • Shane GOH Ghee Gin
  • Darren LIM Fei Hong
  • LIM Wei Yang
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group10- Team AP

  • Jeanne Sim Peh Wuen
  • Lim Hui Ting
  • Jaclyn Lim Hui Ting
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group11 Team AYE

  • Audrey Lee Zhi Ying
  • Edwin Tan Soon Hong
  • Toh Yan Ying
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group12 Team MYW

  • Melissa Lim Seok Yu
  • Tan Wei Liang
  • Tan Yu Ling
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group13 Team

  • Sng Ei Leen
  • Wong Jia Wei
  • Tan Ziling Amy
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group14 Team HEW

  • Huai Zher
  • Elijah Tan Yi Rong
  • Winston Ong Bing Shen
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) Tokio Marine Asia
Coming soon... To provide a client in healthcare industry with descriptive analytics tools for public health monitoring and intervention

Group15

  • Nguyen Le Hong Ngoc
  • Poh Jin Hui
  • Zhao Yazhi
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) Khoo Teck Puat Hospital & SMU T-Lab
Car Park Overspill Study To be confirmed

Group16 Blackbox

  • Chen Xueye
  • Zeng Jiadong
  • Zheng Wei
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
Social Media Analysis To be confirmed

Group17 T(eam)ROLL

  • Nur Amirah Bte Mohd Noor
  • Gan Sze Huey
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)

To be confirmed

To be confirmed To be confirmed

Group18

  • Denise Quek Si Ying
  • Tan Wei Song
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group19

  • Pooja Tulsyan
  • Akshat Agarwal
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed
To be confirmed To be confirmed

Group20

  • Ng Ngee Heng, Eugene
  • Wilson Wong
  • Pham Minh Khoa
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) To be confirmed