2014-2019

‌The Discipline of Information Technology is very pleased to announce that Dr. Enda Ridge is delivering their next IT Research Seminar Talk on Monday 23rd February 2015. This talk will take place in AC003, D’Arcy Thompson Lecture from 3pm -4pm. Dr. Enda Ridge is an alumni of NUIG (Mechanical Engineering & Information Technology) and has recently published a book entitled “Guerrilla Analytics”.

Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, explainable, tested work products. This is when you need Guerrilla Analytics.

In this talk, you will learn about:

• The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.
• Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny.
• War stories: practice tips on actual project challenges encountered in consulting, pre-sales and research.
• Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions.

Speaker biography

Enda Ridge, PhD, is an accomplished data scientist whose experience spans consulting, pre-sales of analytics software and academic research. Enda has consulted to clients in the public and private sectors including financial services, insurance, audit and IT security. He is an expert in agile analytics for real world projects where data and requirements change often, and results must be traceable and auditable for high profile stakeholders including governments and regulators.
Enda's PhD used Design of Experiments techniques to methodically evaluate algorithm performance with data analytics. He has authored or co-authored peer-reviewed research papers, is an invited contributor to edited books and has spoken at several analytics practitioner
conferences in Europe and the United States. Enda holds a Bachelor’s degree in Mechanical Engineering and Master’s in Applied Computing from the NUI Galway and was awarded the National University of Ireland’s Travelling Studentship in Engineering. His PhD was awarded by the University of York, UK.