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Millennium Global Business Solutions Inc.
Livermore, California, United States
Shree Nanguneri
Founder and CEO
(10)
4
Project
Academic experience
200 hours of work total
Learner
Anywhere
Advanced level

Project scope

Categories
Data visualization Data analysis Data modelling Software development Machine learning
Skills
mathematics data capture minimum data set patents non-disclosure agreement (intellectual property law)
Details

NOTE 1: Students & Instructors are encouraged to read & review our AFAQs.

NOTE 2: Review the Scope & Task items to list your individual interpretation on a GSheet for alignment with IP.

Scope:

  1. Addressing Data Capture, Analysis, Mining, & Visualization, Programming & Modelling
  2. Verifying content of patent demographics DB prior to prototypical demonstration - Voice of The IP Customer
  3. Demonstrating feasibility of data capture with prototypical sample size of patents
  4. Proposing extent of economy of scale of patent DB based on project team capacity (a.k.a. minimum data sets)
  5. Increasing economy of scale based on capacity - Mass Production
  6. Scaling US patent demographics DB on approved patents - Production Output
  7. Modelling DB from partially selected data to regress patent inputs to cycle time of acceptance
  8. Validating math model with remaining portion of the DB [Use any regression or modeling technique]
  9. Estimating probability of cycle time of patent acceptance via Predictive Analytics
Deliverables

Past NDA compliance, please execute NOTES 1 & 2, prior to proceeding with Project related activities.

Tasks:

  1. Address Data Capture, Analysis, Mining, & Visualization, Programming & Modelling
  2. Verify content of patent demographics DB prior to prototypical demonstration - Voice of The IP Customer
  3. Demonstrate feasibility of data capture with prototypical sample size of patents
  4. Propose extent of economy of scale of patent DB based on project team capacity (a.k.a. minimum data sets)
  5. Increase economy of scale based on capacity - Mass Production
  6. Scale US patent demographics DB on approved patents - Production Output
  7. Model DB from partially selected data to regress patent inputs to cycle time of acceptance
  8. Validate math model with remaining portion of the DB [Use any regression or modeling technique]
  9. Estimate probability of cycle time of patent acceptance via Predictive Analytics

Screen members to address gap in skills

Mentorship

Team members at MGBS as well as "C" level executive per need.

Team and MGBS Inc. will decide frequency of meeting, length of meetings, effectiveness of meetings and most importantly escalation protocol of any issues coming from either side on a proactive and a constructive basis. Goal is to reduce meeting frequency and time and focus on meetings to celebrate milestone completion and lessons learned.

Top contributing factor for project success is ability to escalate rapidly and collaboratively resolve harmoniously as a TEAM.

About the company

Company
Livermore, California, United States
2 - 10 employees
Academic association, Business & management, Hospital, health, wellness & medical, Science, Technology
Representation
Minority-Owned Sustainable/green Immigrant-Owned Community-Focused

As a business process improvement coach & consultant I worked with several corporations in different continents over 31 years. After a successful 6-year work experience at General Electric Corporation, I founded my company in 2000, and have been fortunate to successfully deliver in a variety of industries such as manufacturing, technology, transactional as well as service type environments. Having published scientific & technical articles, including authoring 5 US patents I released my book on Lean Six Sigma in 2011. I converse reasonably in Dutch, and Spanish, the skills of which I acquired during my consulting times. To date, the total annualized direct customer benefits have accrued to several hundreds of millions of dollars across the globe in more than 20 years. I enjoy outdoor activities, and meeting people. I am thankful to my mentor (s), past employers, and my professional network members without which most achievements would have been impossible.