Andrew D’Amico


Leading our Business Analytics Practice and our PMO, Andrew is a Project Management Institute (PMI) Disciplined Agile Senior Scrum Master (DASSM) and Project Management Professional (PMP) with a focus on implementation of Artificial Intelligence projects. As a DASSM and a PMP Andrew has demonstrated expertise in both the foundations of project management (Predictive or “Waterfall” project management) as well as enterprise implementation and scaling of Agile principals. Andrew has practiced as both a Scrum Master on Scrum Projects, and an agile project manager utilizing Lean and Disciplined Agile methodologies. He believes that every project and every team is different and so true agility is the ability to adapt contextually.

Andrew has previous experience working with start-ups in the areas of business and product development, predictive “People Analytics,” and disruptive technologies such as blockchain and graph databases. In business analytics he combines his experience as a project manager with business analysis and data science to deliver solutions specifically tailored to solving the problem of the business unit. His focus in machine learning is on intersection of disruptive technologies such as blockchain, artificial intelligence, neural networks, and remote sensing, and the application of these tools in cross-fields.

Professionally Andrew serves on multiple boards and associations. He is currently the Vice President of Operations for the Northwestern University Master of Science in Data Science Student Leadership Council. He is also the Director of Executive Outreach for the Project Management Institute Chicagoland Chapter. Andrew is an active member of the IEEE, the Association for Computing Machinery (ACM), and the International Institute of Business Analysts (IIBA). 

In October of 2021 Andrew will be serving as a session chair for the implementation track of the Artificial Intelligence conference.

Andrew is currently working on his thesis work and a candidate of the Masters of Science in Data Science in Artificial Intelligence program at Northwestern University in Evanston Illinois. Previously he received his double undergraduate degree in Philosophy and English literature from Loyola University Chicago, specializing in Philosophy of Science. His academic research interests focus on business applications of data science within various business models, frameworks, and project structures. 

In addition to the Business Analytics Practice and the PMO, Andrew is also closely involved with the GIS Practice and general operations.

Educational Background


Master of Science, Data Science, Candidate

Northwestern University


Certificate, Business Analytics

Northwestern University


Certificate, Project Management

DePaul University


Bachelor of Arts, Philosophy, English

Loyola University Chicago

Professional Background


Session Chair, Artificial Intelligence Implementation Track Artificial Intelligence Conference


Disciplined Agile Senior Scrum Master (DASSM)

Project Management Institute


Chief of Staff, Business Outreach

Project Management Institute, Chicago Chapter


Project Manager, Executive Council

Project Management Institute, Chicago Chapter


Project Management Professional (PMP)

Project Management Institute

Recent Work

Business Analytics
Andrew Damico

Predicting using Monte Carlo Simulation

Monte Carlo Simulation is an important tool used to factor in unknown variables and random events which can compound, giving scientists the ability to make better long term predictions when traditional models are inapplicable.

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Business Analytics
Andrew Damico

The Importance of both Business and Data Acumen for the Business Intelligence Analyst

Having knowledge of how a leader perceives both the operations and the goals of the organization are critical for a business intelligence analyst. In order to successfully apply Goal Question Metrics (GQM) analyst’s needs to have a thorough understanding of the processes and objectives of both the team and management, as well as the technical analytical skills to be able to measure progress against these processes and objectives.

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Partner POV
Andrew Damico; Brennen Chadburn; Michael Purvis; Cameron Moore and Michael Martley

Looking Forward to 2021

To close out this year, we asked our partners and associates what they were most looking forward to in data science and analytics in 2021.

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