Nicholas Danks
Associate Professor
Dublin, Ireland
Summary
👤
Senior🎓
Top SchoolNicholas Danks is an Associate Professor and statistician with a decade of experience turning business challenges into deployable analytics solutions, blending academic rigor from a PhD in Data Analytics with practical commercial leadership. He built the open-source R package SEMinR for Partial Least Squares modeling and is fluent in R, Python and Ruby, regularly applying statistical learning to real-world decision problems. Prior to academia he led multinational operations and finance as a General Manager and qualified accountant, giving him deep domain insight into cash flow, international trade and sales growth. His research has been published in leading journals while his teaching and industry work emphasize scalable, reproducible analytics that drive business intelligence. Based in Dublin, he combines hands-on coding with methodological innovation to bridge research and operational impact.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Data Analytics, 4, Doctor of Philosophy - PhD, Data Analytics, 4 at National Tsing Hua UniversityUniversity of South Africa
Chinese, Afrikaans, English
Github Skills (28)
r10
lavaan10
construct10
pls10
covariance10
least-squares10
structural-equation-modeling10
prediction9
python7
crypto6
machine-learning6
r-package6
ruby4
security4
api3
Programming languages (2)
Github contributions (5)
sem-in-r/pls-predict
Jun 2018 - Feb 2020
PLS-PM estimation and prediction library
Contributions:23 PRs, 40 pushes, 18 branches in 1 year 7 months
pythonplspredictionmachine-learningestimation
ISS-Analytics/pls-predict
Feb 2016 - Jun 2018
PLS-PM estimation and prediction library
Contributions:46 commits, 10 PRs, 35 pushes in 2 years 4 months
pythonplspredictionmachine-learningestimation
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