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Jim Eggers Email & Phone Number

Using data to answer questions, solve problems and create value. at Press Ganey
Location: Baltimore, Maryland, United States 4 work roles 3 schools
1 work email found @pressganey.com 1 phone found area 615 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email j****@pressganey.com
Direct phone (615) ***-****
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Current company
Role
Using data to answer questions, solve problems and create value.
Location
Baltimore, Maryland, United States
Company size

Who is Jim Eggers? Overview

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Quick answer

Jim Eggers is listed as Using data to answer questions, solve problems and create value. at Press Ganey, a with 1481 employees, based in Baltimore, Maryland, United States. AeroLeads shows a work email signal at pressganey.com, phone signal with area code 615, and a matched LinkedIn profile for Jim Eggers.

Jim Eggers previously worked as Custom Reporting Lead at Press Ganey and Senior Research Analyst at Healthstream. Jim Eggers holds Ms, Data Mining from Central Connecticut State University.

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Email format at Press Ganey

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{first}.{last}@pressganey.com
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Profile bio

About Jim Eggers

More than twenty years of experience in reporting, analytics and statistical analysis. I firmly believe it is not about the analysis or technique, it is about end users understanding and actually using your results. I think it is better to run a correlation analysis that people understand and can use then a neural network they do not. The analysis is often the easy part, cleaning the data, presenting results succinctly, explaining results are the hard part...and the art. I am a strong proponent of open source technologies. I am continually learning new techniques in predictive analytics. Deep learning & natural language processing enthusiast. Applications/Programming Languages: SAS, SPSS, R, IBM/SPSS Modeller ("Clementine"), SQL, Weka, Orange Data Mining, TableauTechniques:• Regression Analysis (Linear and Logistic)• Multivariate Analysis (Cluster analyses, Principal Components Analysis, Factor Analysis, Discriminant Analysis)• Data Mining (Association Analysis, Support Vector Machine, Decision Trees (CART, C5.0, CHAID), ensemble learning, random forest, machine learning, neural networks, Naive Bayes).• Text Mining• Web Mining

Listed skills include Predictive Modeling, Sas, Data Mining, Spss, and 38 others.

Current workplace

Jim Eggers's current company

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Press Ganey
Press Ganey
Using data to answer questions, solve problems and create value.
south bend, indiana, united states
Website
Employees
1481
AeroLeads page
4 roles

Jim Eggers work experience

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Custom Reporting Lead

Current
Feb 2018 - Present

Senior Research Analyst

• Serve as primary analytic consultant on various large accounts ranging from patient satisfaction to employee engagement to physician satisfaction • Complete research and produce narrative reports on an ad hoc basis for both internal and external clients• Keep current on Centers for Medicare and Medicaid Services programs, utilize data generated from the programs and create reports for hospitals• Extract data from multiple sources, link them and run analysis• Lead and manage research papers to support thought leadership efforts• Mentor less experienced staff members • Assist project managers in determining the scope of projects and setting milestones • Explore uses and applications for machine learning to data

Feb 2005 - Feb 2018

Data Anlayst

Applied Data Resources

Pikesville, Md

• Responsible for selecting and preparing data items for analysis, completing the analysis and checking for accuracy before uploading into application database• Worked with data from the 1990 and 2000 Census, Census estimates for non-Census years, Bureau of Labor Statistics, Bureau of Economic Analysis, Centers for Disease Control and Prevention, among others

Feb 2004 - Aug 2004

Data/Statistical Analyst

• Write programs in SPSS and SAS for analysis of data to meet client needs• Perform statistical analysis and create files to be utilized in databases and automated reporting• Collaborate with researcher to meet client analytic needs in the most efficient manner• Able to successfully manage multiple timelines and projects simultaneously • Industry experience includes healthcare, finance, transportation, media and retail and experience in customer satisfaction and employee engagement research

Aug 1994 - Feb 2004
Team & coworkers

Colleagues at Press Ganey

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3 education records

Jim Eggers education

Ms, Data Mining

Master of Science degree in applied predictive analytics covering the core data science methods used in supervised and unsupervised.

Master'S, Economics

Fundamentals of economic theories as they apply to the environment, education, economic development, healthcare, public finance, social.

FAQ

Frequently asked questions about Jim Eggers

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What company does Jim Eggers work for?

Jim Eggers works for Press Ganey.

What is Jim Eggers's role at Press Ganey?

Jim Eggers is listed as Using data to answer questions, solve problems and create value. at Press Ganey.

What is Jim Eggers's email address?

AeroLeads has found 1 work email signal at @pressganey.com for Jim Eggers at Press Ganey.

What is Jim Eggers's phone number?

AeroLeads has found 1 phone signal(s) with area code 615 for Jim Eggers at Press Ganey.

Where is Jim Eggers based?

Jim Eggers is based in Baltimore, Maryland, United States while working with Press Ganey.

What companies has Jim Eggers worked for?

Jim Eggers has worked for Press Ganey, Healthstream, Applied Data Resources, and The Gallup Organization.

Who are Jim Eggers's colleagues at Press Ganey?

Jim Eggers's colleagues at Press Ganey include Lara Koski, Anne Freeman, Olivia Hinson, Fadi Habib, and Brad Fetters.

How can I contact Jim Eggers?

You can use AeroLeads to view verified contact signals for Jim Eggers at Press Ganey, including work email, phone, and LinkedIn data when available.

What schools did Jim Eggers attend?

Jim Eggers holds Ms, Data Mining from Central Connecticut State University.

What skills is Jim Eggers known for?

Jim Eggers is listed with skills including Predictive Modeling, Sas, Data Mining, Spss, Statistics, Factor Analysis, Decision Trees, and Multivariate Analysis.

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