Data Science Student of the Year 2018-06-20T10:47:14+00:00

Data Science Student of the Year

Sponsored by SPONSOR NAME

Entry Criteria

Entries for student of the year would preferably be self-nominated; however supervisors may nominate their students.

Entries should provide detail on a data science research project conducted by the student that showcase why they should be student of the year.

Research projects should have been conducted by the nominee in the prior 12 – 18 months.

Category Sponsor Pramerica

Award Category Sponsor

2017 FINALISTS

DATA SCIENCE STUDENT OF THE YEAR

SPONSORED BY CORE MEDIA

Theo Dorman-Kade

CIT

Jane Delaney

CIT

Eva Mohedano & Mark Marsden

DCU

Siobhan Grayson

UCD

Stefano Mauceri & Paulo Roberto De Oliveira Da Costa

UCD

Category Judges

We are proud to present our Judging Panel. We have assembled some of the finest intellects in the community who will judge and score all entries to select this year’s deserving winners.

Noelle Doody
Noelle Doody

Head of Analytics | SSE Airtricity

Sheamus Causer
Sheamus Causer

CEO, Deutsche Bank Service Centre (Ireland) | Head of CDO, Strategy & Innovation (Ireland)

Kevin Koidl
Kevin Koidl

CEO at Wripl.com | Research Fellow at ADAPT Centre

DR. Mick Kerrigan

Chief Science Officer | RecommenderX DAC

Martin Perry
Martin Perry

Senior Data Professional | Microsoft

Scoring

Nominees will be scored on a number of different criteria, receiving a score out of 100:

Research Problem

Describe the research project, demonstrating your understanding of the research problem and the work you performed to gain that understanding. [30 Points]

Solution

Describe the solution that you created for the research problem, showcasing the data science tools, techniques and skills that you applied for quantitative analysis and any machine learning tools, techniques, and skills that you applied to create models or deliver predictions and/or recommendations. [35 Points]

Visualization & Story-telling

Demonstrate how you used visualization and story-telling to communicate complex data sets in a visual and accessible way and/or to reveal hidden insights. [35 Points]

Note: Nominees may provide up to 2 examples of their visualizations to demonstrate this skill.

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