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Patrick C. Walker, MPA
  • Saint Paul, MN
  • United States
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  • Sagar Diwakar Uparkar
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Phoenix Real Estate Solutions
Executive Management, Professor, Consultant
Job Function:
Business Analytics, Predictive Modeling, Data Mining, Econometrics, Vizualization, Statistical Consulting, Artificial Intelligence
Real Estate, ICT, Insurance, Finance, Mortgage
Short Bio:
Patrick C. Walker, MPA experience ranges from principal at METAMORF Technologies in Maryland, to Vice President of Information Technology for Bonner & Associates in the District of Columbia. He has also been a senior ICT consultant to profit and non-profit firms in national and international markets. Mr. Walker graduated summa cum laude from Humphrey School of Public Affairs with an interest in the impact of management information systems (MIS) and decision support systems (DSS) on public and private governance. Prior to entering graduate school, Mr. Walker owned and operated DSS and MIS platforms providing education, business and market development content and capacity to mainstream and marginalized communities. As an undergraduate, Mr. Walker graduated from Towson University with a BS double major in Mathematics and Computer Science. Mr. Walker’s mantra to stakeholders is simple - Experience how Enterprise Intelligence Drives the Power of Data!
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Patrick C. Walker, MPA's Blog

The demand for Grasstops Analytics

Posted on November 4, 2013 at 12:59pm 0 Comments

Leveraging grasstops (i.e. group leaders) is imperative given their highly influential position with other group members. If a grasstop can be prevented from terminating legislative (i.e. policy oriented) support, the legislative termination rate for the group members has a higher likelihood for reduction. Alternatively, attempting to get a grasstop from a competing policy issue to switch or terminate may increase likelihood of similar results with group members associated with that…


Supplier Diversity needs cleaned and enriched small or Big Data

Posted on October 27, 2013 at 8:00pm 0 Comments

Today, analytics-driven best practices dictate that, content collecting portals and other data-centric projects undergo the process of data cleaning and enrichment because analytic-oriented failures (i.e. descriptive, predictive, and prescriptive analytics models or reports) are often linked to the quality of data. To halt the perpetuation of bad data across the enterprise, initial “clean and enrich” initiatives have been effective including gathering missing or incomplete data, identifying…


Predictive Analytics, Data mining and High School dropouts?

Posted on October 11, 2013 at 9:30am 0 Comments

Currently, high schools have some of the biggest challenges determining the individual paths of students that enter the school yard each day. In fact, both institutions and industries would like to know, for example, which student will graduate from a particular course program and which student will need assistance in order to graduate on time. Which graduates are most receptive to what kind of high education institution? Which non-graduates are most receptive to what kind of intervention to…


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At 9:15am on January 4, 2015, Sagar Diwakar Uparkar said…
Good evening,

Mayf wish you and your loved ones very happy, prosperous, peaceful and healthy new year.

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