Masha Shunko

Masha Shunko Email and Phone Number

Associate Professor of Operations Management, Michael G. Foster Endowed Fellow @ University of Washington - Michael G. Foster School of Business
Kirkland, WA, US
Masha Shunko's Location
Greater Seattle Area, United States
Masha Shunko's Contact Details

Masha Shunko personal email

About Masha Shunko

Masha Shunko is a Associate Professor of Operations Management, Michael G. Foster Endowed Fellow at University of Washington - Michael G. Foster School of Business. She possess expertise in operations research, mathematical modeling, data analysis, statistics, statistical modeling and 13 more skills.

Masha Shunko's Current Company Details
University of Washington - Michael G. Foster School of Business

University Of Washington - Michael G. Foster School Of Business

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Associate Professor of Operations Management, Michael G. Foster Endowed Fellow
Kirkland, WA, US
Masha Shunko Work Experience Details
  • University Of Washington - Michael G. Foster School Of Business
    Associate Professor Of Operations Management, Michael G. Foster Endowed Fellow
    University Of Washington - Michael G. Foster School Of Business
    Kirkland, Wa, Us

Masha Shunko Skills

Operations Research Mathematical Modeling Data Analysis Statistics Statistical Modeling Research Optimization Latex Simulations Linear Programming Quantitative Analytics Monte Carlo Simulation Microsoft Excel Project Management Minitab Analysis Simulation Mathematics

Frequently Asked Questions about Masha Shunko

What company does Masha Shunko work for?

Masha Shunko works for University Of Washington - Michael G. Foster School Of Business

What is Masha Shunko's role at the current company?

Masha Shunko's current role is Associate Professor of Operations Management, Michael G. Foster Endowed Fellow.

What is Masha Shunko's email address?

Masha Shunko's email address is ms****@****ton.edu

What skills is Masha Shunko known for?

Masha Shunko has skills like Operations Research, Mathematical Modeling, Data Analysis, Statistics, Statistical Modeling, Research, Optimization, Latex, Simulations, Linear Programming, Quantitative Analytics, Monte Carlo Simulation.

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