Difference between revisions of "AY1516 T2 Team13 Natasha Studio Team"

From Analytics Practicum
Jump to navigation Jump to search
Line 22: Line 22:
  
 
1. Amy
 
1. Amy
 
+
<br>• Main point of contact between the group and their stakeholders (Professor and Natasha Studio)
Responsibilities:
+
<br>• Planning of project schedule and milestones
• Main point of contact between the group and their stakeholders (Professor and Natasha Studio)
+
<br>• Monitor development progress and make sure that the project is on schedule
• Planning of project schedule and milestones
+
<br>• Management of wiki and project documentation
• Monitor development progress and make sure that the project is on schedule
 
• Management of wiki and project documentation
 
  
 
2. Eileen
 
2. Eileen
 
+
<br>• Building and assessment of models
Responsibilities:
+
<br>• Generation of test designs  
• Building and assessment of models
+
<br>• Selection of appropriate tools and model technique
• Generation of test designs  
+
<br>• Evaluation of model against certain scoring metrics and business goals
• Selection of appropriate tools and model technique
+
<br>• Model documentation
• Evaluation of model against certain scoring metrics and business goals
 
• Model documentation
 
  
 
3. Jiawei
 
3. Jiawei
 
+
<br>• Preparation and transformation of data set
Responsibilities:
+
<br>• Maintaining and verifying the quality of data set
• Preparation and transformation of data set
+
<br>• Data cleansing process
• Maintaining and verifying the quality of data set
 
• Data cleansing process
 

Revision as of 22:28, 9 January 2016

HOME

TEAM

PROJECT OVERVIEW

FINDINGS & ANALYSIS

PROJECT MANAGEMENT

DOCUMENTATION

1. Amy
• Main point of contact between the group and their stakeholders (Professor and Natasha Studio)
• Planning of project schedule and milestones
• Monitor development progress and make sure that the project is on schedule
• Management of wiki and project documentation

2. Eileen
• Building and assessment of models
• Generation of test designs
• Selection of appropriate tools and model technique
• Evaluation of model against certain scoring metrics and business goals
• Model documentation

3. Jiawei
• Preparation and transformation of data set
• Maintaining and verifying the quality of data set
• Data cleansing process