Reflection- Learning Launch 

 Challenge & Selection 

 I work in customer experience management in a telecom company , and we are challenged to conduct a   churn Analytics projects to understand more about the customer journey using advanced data mining   techniques   , the challenge was it ’s new to organization and do n’t know it they will accept the idea or   not and there ’s a systems integration issues and it was a Hard job to do the linkage and not sure what   we can find useful 

 So , I decided to apply the concept of learning Launch to work on a small dataset and prepare the   analytical dashboard that can work as a proof of concept and if it works , we can scale it to full customer   population 

 Application 

 The problem of   m client is answering the question of wh customers leaves and when they will leave , to   address that problem we did the following 

 -   Build a small diverse team from business experts , data experts and IT experts within the   company 

 -   Start   collecting data of small customers list ( around 1000 customers ) and get a 360 degrees   view of their interactions with the company 

 -   Build a prototype with analysis techniques and visualization techniques to build a data product   system that explain why customer leave and alert for the high - risk customers 

 -   We set meetings with actual customers with the list to validate our data assumptions 

 After that we prepare a demo meeting with the client to launch that data product prototype and its   functionality , the client and its VPs discussed the analytical data product and challenge some aspects of   it , some points were valid and we took it as a learning lesson to re adjust our model 

 Finally we fix all the valid issues and launches a 2nd iterative version that was more enhanced and then   are ready to scale to full customer base 

 Insight & Approach 

 Learning launch is a great tool to test any product or service even a Data analytics solution that can help   enhance the idea , usability and features to better serve a customer pain in a fast , cheap and effective   way 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection- Learning Launch 

 Challenge & Selection 

 I work in customer experience management in a telecom company , and we are challenged to conduct a   churn Analytics projects to understand more about the customer journey using advanced data mining   techniques   , the challenge was it ’s new to organization and do n’t know it they will accept the idea or   not and there ’s a systems integration issues and it was a Hard job to do the linkage and not sure what   we can find useful 

 So , I decided to apply the concept of learning Launch to work on a small dataset and prepare the   analytical dashboard that can work as a proof of concept and if it works , we can scale it to full customer   population 

 Application 

 The problem of   m client is answering the question of wh customers leaves and when they will leave , to   address that problem we did the following 

 -   Build a small diverse team from business experts , data experts and IT experts within the   company 

 -   Start   collecting data of small customers list ( around 1000 customers ) and get a 360 degrees   view of their interactions with the company 

 -   Build a prototype with analysis techniques and visualization techniques to build a data product   system that explain why customer leave and alert for the high - risk customers 

 -   We set meetings with actual customers with the list to validate our data assumptions 

 After that we prepare a demo meeting with the client to launch that data product prototype and its   functionality , the client and its VPs discussed the analytical data product and challenge some aspects of   it , some points were valid and we took it as a learning lesson to re adjust our model 

 Finally we fix all the valid issues and launches a 2nd iterative version that was more enhanced and then   are ready to scale to full customer base 

 Insight & Approach 

 Learning launch is a great tool to test any product or service even a Data analytics solution that can help   enhance the idea , usability and features to better serve a customer pain in a fast , cheap and effective   way
### Output: 