Upcoming Events!

PSPMI April Mix & Learn

April 25, 2019
6:00 PM - 9:00 PM

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Red Lion Hotel Bellevue
11211 Main St.



We hope you can join us for Puget Sound PMI's signature networking event at Hotel Red Lion, Bellevue. Enjoy networking with your colleagues, learning what's going on in the chapter, and hear from two great speakers. All while enjoying complimentary hors d'oeuvres and drinks. A no-host bar will be available. Managers have benefited from these mixers, and some have found employment as a result of relationships started at these events.

Sophia Cui

CTO, Jobscan

Sophia Cui has held engineering, product manager, CTO, and founder roles at both startups and major corporations such as Zynga and Microsoft. She has Master's degrees from MIT and Cornell and is currently the CTO of Jobscan, a machine learning-powered, online service that empowers job seekers to land their perfect job.

How AI and Machine Learning Affects HR and Recruiting at Corporations

98% of Fortune 500 companies use applicant tracking systems to source, evaluate and hire new employees. Some of these internal-applicant or employee tracking systems are pretty 'smart' - they use machine learning to predict with high accuracy who is likely to leave their current job the following year. This talk dives into how AI and machine learning are shaping the HR landscape today and tomorrow in the workplace. We also focus on applicant tracking systems and offer specific tips on how to get your next job application in the hands of actual recruiters rather than filtered through by machine algorithms.


Baabak Ashuri,

Associate Professor, Georgia Tech

(Guest of Palisade Corporation)

Baabak Ashuri is Associate Professor in the School of Building Construction and School of Civil & Environmental Engineering at Georgia Tech. Dr. Ashuri has expertise in construction analytics with important applications in the areas of construction economics (cost estimation and project finance), investment evaluation methods, risk analysis, innovative project delivery, and valuation of green-energy investments.
Dr. Ashuri has 152 publications in these fields, including 43 refereed journal articles, 74 peer-reviewed conference papers, and 35 research reports. His research has received support worth over $6.5 million from the National Science Foundation (NSF), Federal Highway Administration (FHWA), Department of Energy (DOE), Construction Industry Institute (CII), Georgia Department of Transportation (Georgia DOT), Royal Institution of Chartered Surveyors (RICS), Turner Construction, Perkins+Will, and several other public and private organizations. Dr. Ashuri is the recipient of the 2018 Construction Industry Institute (CII) Celebration of Engineering & Technology Innovation (CETI) Award, Outstanding Early Career Researcher 2017 American Society of Civil Engineers (ASCE) Thomas Fitch Rowland Award, the 2015 Design-Build Institute of America (DBIA) Distinguished Leadership Award, and the 2013 American Association of State Highway and Transportation Officials (AASHTO) High Value Research Award.
Dr. Ashuri has completed a B.S. in Civil Engineering from Sharif University of Technology, and an M.S. in both Operations Research and Building Construction and Integrated Facility Management, followed by a Ph.D. in Industrial and Systems Engineering, from Georgia Tech.

Baabak is an advocate of Palisade Corporations' risk and decision tools.    

Construction Analytics: Data-Driven, Risk-Based Decision-Making for Project Management

The major goal of this talk is to introduce project management professionals to a wide range of benefits resulting from implementing a data-driven approach to decision-making in the uncertain and complex project environment.

Firms in all economic sectors continue to invest heavily in their capabilities to capture and store more data (so-called Big Data). Data and analytics fuel several disruptive models with great potentials to transform the nature of project management. In this talk, the value potential of data-driven decision-making will be discussed for enhancing the efficiency and effectiveness of current project management practices. A brief overview of four essential types of data analytics will be presented: (a) descriptive analytics; (b) diagnostic analytics; (c) predictive analytics; and (d) prescriptive analytics.

Four major applications in construction analytics will be discussed further to show the benefits of a data-driven approach for effective project management:
  1) cost analysis & forecasting
  2) project schedule and cost risk analysis
  3) labor productivity analysis
  4) investment evaluation of green energy projects

The talk concludes with a set of recommendations for project management professionals on how to compete on analytics. Several major areas will be identified as key requirements for successful transformation into data-driven project management.

Parking: Free at the venue

PDUs: 2.00

Notice of Photography and Liability Waiver:

Notice of Photography and Liability Waiver: By signing up or entering a Project Management Institute, Puget Sound Chapter (PSPMI) event or program, you agree to a Photography and Liability Waiver.  Read the full Notice here.


$10.00 Member General Admission

$20.00 Non-member General Admission

$10.00 Partner Organization Member