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2016-06-08T00:00:00.000Z

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Pasha Roberts

Chief Technology Officer

Talent Analytics Corp

Direct Phone: (617) ***-**** ext. ***       

Email: p***@***.com

Talent Analytics Corp

146 Mount Auburn Street.

Cambridge, Massachusetts 02138

United States

Company Description

Talent Analytics enable companies to fully understand how to get the best performance from employees, identify top performers beyond the obvious markers, and empower and motivate talent to consistently deliver top-notch results. more

Find other employees at this company (17)

Background Information

Employment History

Chief Software Architect
Target Teams Inc

Affiliations

Teams Advisor
Target Corporation

Founder
Lineplot Fed Movie LLC

Founder
WebLine Communications Corporation

Education

Master of Science Degree
Financial Engineering
MIT Sloan School of Management

bachelors degree
Economics and Russian Studies
The College of William and Mary

dual Bachelors degree
Economics and Russian Studies
The College of William and Mary

Web References (184 Total References)


Wise Practitioner - Predictive Workforce ...

www.predictiveanalyticsworld.com [cached]

Wise Practitioner - Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.

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Wise Practitioner - Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
...
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics,...


Editor's Note: Pasha Roberts ...

data-informed.com [cached]

Editor's Note: Pasha Roberts will present Predictive Job Maps - Modeling an Entire Workforce with a Tree of Models at the Predictive Analytics World Conference, taking place April 3-7 in San Francisco.

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Pasha Roberts, co-founder and Chief Scientist at Talent Analytics Corp., fielded questions from Data Informed about how organizations can apply predictive analytics to map these movements and determine which types of employees are most likely to change roles, which roles best suit individual employees, and how this knowledge can improve hiring and employee performance.
Data Informed: What kinds of data make up a predictive job map?
Pasha Roberts: Each node in the map is a role, for example, "Underwriter I" or "Inside Sales Representative. Then, we map the traffic between each role: hires, promotions, demotions, transfers, terminations, and actual performance in the role. This gives us a set of history and probabilities for how people really move and perform through the organization, which is not always how HR has planned it. This emergent order usually brings a lot of insight, but it is nothing new. People have been doing this with Markov chains for a long time.
Pasha Roberts, Co-Founder and Chief Scientist, Talent Analytics Corp.
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Pasha Roberts, Co-Founder and Chief Scientist, Talent Analytics Corp.
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Roberts: Two kinds of decisions come from this map: macro and micro.
At the micro level, we can identify attractive paths for candidates or employees through an organization, years before the person has developed the skills or experience to take the later roles. An attractive path is defined as a role in which they have a high probability of being successful in the role: If a candidate applied for a customer support role but the models find he would be more likely to stay and to produce more value as an inside sales rep, we can put the candidate there instead.
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Roberts: At the employee level, a map of models will make smarter choices for the entire organization. For example:
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Roberts: The micro and macro components of the map work together.
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Roberts: It is useful for both.
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Roberts: Within a general flight risk number, we strive to understand types of termination: Is it because the employee wants bigger things, more money, or because they can't do the job?
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Roberts: Just knowing a potential path for someone doesn't do much for anyone.
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Roberts: This isn't physics, this is people.
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Editor's Note: Pasha Roberts will present Predictive Job Maps - Modeling an Entire Workforce with a Tree of Models at the Predictive Analytics World Conference, taking place April 3-7 in San Francisco.


Wise Practitioner - Predictive Workforce ...

www.predictiveanalyticsworld.com [cached]

Wise Practitioner - Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.

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Wise Practitioner - Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
...
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics,...


Wise Practitioner - Predictive Workforce ...

www.predictiveanalyticsworld.com [cached]

Wise Practitioner - Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.

...
Wise Practitioner - Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
...
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics,...


Wise Practitioner - Predictive Workforce ...

www.predictiveanalyticsworld.com [cached]

Wise Practitioner - Predictive Workforce Analytics Interview Series: Pasha Roberts at Talent Analytics, Corp.

...
Wise Practitioner - Workforce Predictive Analytics Interview Series: Pasha Roberts at Talent Analytics
...
Presented by: Pasha Roberts, Chief Scientist, Talent Analytics,...
...
By: Pasha Roberts, Chief Scientist & Co-founder, Talent Analytics, Corp.

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