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Background

Data Science Consultant with expertise in time series analysis, statistics, Bayesian modelling, and machine learning with TensorFlow.

I implement data science solutions for organizations across a range of industries through implementation of statistical analysis as well as more advanced machine learning methodologies.

My educational background is a Master’s degree in Economics from University College Cork, Ireland. As such, much of my work has been in the domain of business intelligence; i.e. using machine learning technologies to develop solutions to a wide range of business problems.

Frequently used techniques and technologies

• ARIMA
• AWS
• InterpretML
• PostgreSQL
• Prophet
• PyMC3
• Python
• R
• Shiny Web Apps
• TensorFlow

Training Courses

Time Series Forecasting with Bayesian Modeling. LiveProject series produced for Manning Publications (2021)

• Course content includes modelling of time series shocks with Bayesian Dynamic Linear Modeling, modeling of posterior distributions with PyMC3, MCMC sampling with Prophet, and Structural Time Series Modeling with TensorFlow Probability.

TensorFlow 2.0 Essentials: What’s New. Video seminar produced for O’Reilly Media (2019)

• Illustrated use of eager execution and AutoGraph, as well as use of tf.keras for neural network modelling across classification, regression, and time series datasets.

Business Analytics with R — Statistics and Machine Learning. Video series produced for O’Reilly Media (2018)

• Illustrated use of data manipulation techniques, regression analysis and hypothesis testing, along with classification and regression-based machine learning techniques.

Popular Medium posts

Regularly publish data science content on Medium to over 1,000+ followers.

Some of my most popular articles are included below:

• DiCE: Diverse Counterfactual Explanations for Hotel Cancellations (article cited on Microsoft’s interpretml/DiCE GitHub README)

• Regression-based neural networks: Predicting Average Daily Rates for Hotels

• SARIMA vs Prophet: Forecasting Seasonal Weather Data

• XGBoost and Imbalanced Classes: Predicting Hotel Cancellations

Talks

• UA Data Science Conference: Predicting Hotel Cancellations with Machine Learning (2020)

• Big Data Vilnius: Working with Outliers and Time Series Shocks (2018)

• Nordic Data Science and Machine Learning Summit: Deep Learning and Audiovisual Data (2018)

GitHub Portfolio

• Predicting Hotel Cancellations with Machine Learning

• Energy and Weather Modelling: Time Series Analysis

• NLP: Detecting Spam Messages with TensorFlow