Thomas J Wise

Thomas J Wise

Graduate Data Scientist

Office for National Statistics, Newport

Biography

Recent graduate student from Utrecht University, studying Methodology and Statistics for the Behavioural, Biomedical and Social Sciences, with diverse interests including improving psychological research methods as well as improving statistics, data science and data related communication.

Previous and current projects include comparing machine learning techniques for early PTSD prognosis trauma, introductory data science courses provided for the Office for National Statistics and developing content for improving skills training to disadvantaged groups.

Download my resumé.

Support my Educational Resources .

Interests

  • Data Science & Programming Education
  • Data Visualization
  • Psychological Research Methods
  • Machine Learning

Education

  • MSc in Methodology and Statistics for the Behavioural, Biomedical and Social Sciences, 2021

    Utrecht University, NL

  • Msci in Psychological Theory and Practice, 2019

    University of Reading, UK

Employment

 
 
 
 
 

Graduate Data Scientist

Office for National Statistics

Oct 2021 – Present Newport, UK

Projects:

  • To be confirmed
 
 
 
 
 

General Board Member

VVSOR

Sep 2020 – Present The Netherlands

Projects:

  • National Statistics Education Directory
  • Web-committee Member
 
 
 
 
 

Research Assistant

Academic Medical Centre

Sep 2020 – Jun 2021 Amsterdam, NL

Responsibilities include:

  • Database Cleaning & Management
  • Data Simulation
  • Thesis Related work
 
 
 
 
 

Summer Research Assistant

Office for National Statistics

Jun 2020 – Sep 2020 Newport, UK

Department: Macroeconomics; Prices Division
Project:

  • Alternative Data Sources Project relating to the weighting within the current Consumer Price Index (CPI)

Roles & Responsibilities:

  • Development of a RShiny Application, with interactive visualization, for the project listed.
 
 
 
 
 

Student Research Assistant

Utrecht University

Jan 2020 – Aug 2021 Utrecht, NL

Projects Included:

  • Replication in Psychological Sciences, Transcription Work; Hidde Leplaa
  • Undergraduate Course Preparation and Webmaster: Applied Data Science and Visualization; Emmeke Aarts
  • Reference Information Collection for Eurofund Project; Peter Lugtig
  • Undergraduate Psychology Lecture Translation; Irene Klugkist
  • Unibuddy Course Ambassador
 
 
 
 
 

Head of Theatre Sound

French Woods Festival of the Performing Arts

May 2019 – Aug 2019 Hancock, USA

Roles & Responsibilities:

  • Main Stage Sound Technican, for all shows (>30) and events in that venue
  • Team Leader for Sound Staff across 5 venues
  • Sound technology management across venues, and for all camp wide events
  • Management and Co-ordination of high teaching standards for technical theatre studies

Accomplish­ments

Various R and Python programming Courses

Certificates available via Linkedin
See certificate

Grammar and Effective Writing

Peer-Assisted Learning (PAL) Leader Training

Peer Support Training

Resources

These are free and open-source educational resources delivered to the organizations listed.
Follow the title link to access the resources published through this site, and available on Github

Introduction to R Studio

Topics Covered:

  • Visual Introduction to the R Studio Visual Interface
  • Content in Development

Data in R, an introduction to Data Manipulation and Cleaning

Topics Covered:

  • Theoretical and practical overview of Data Cleaning & Manipulation methods
  • Selecting, Manipulating and Transforming Data
  • Identification and Removal of Missing Data

Introduction to Machine Learning - Tree-Based Models

Topics Covered:

  • Theoretical and practical overview of Tree-Based Models
  • The Use of Decision Trees for classification and regression problems
  • Interpretation and Evaluation of Simple (unpruned) models

Data Visualisation for Business 2: Plots for Publication

Topics Covered:

  • Specifying and Adapting the graphical space with ggplot2
  • Understanding the flexibility of ggplot2 and how to utilize it in producing publishable content
  • Creative Thinking and Problem Solving regarding coding

Introduction to Data Visualization in R for Business Informatics 1

Topics Covered:

  • Introduction to the Tidyverse in R
  • Comparative Plotting in R
  • Basics of ggplot2 (Core Functions, Layers and plot types)
  • Application using Business Data

Introduction to Data Visualization in R for Research

Topics Covered:

  • Introduction to the Tidyverse in R
  • Comparative Plotting in R
  • Use of ggplot2 (Core Functions, Layers and plot types)
  • Application with Research Data
  • Publication for Scientific Journals

aRt in R

Topics Covered:

  • Introduction to the Tidyverse in R
  • Basics of visualization techniques with ggplot2
  • Creative Coding and application in Mathematical functions
  • Creative Thinking and Problem Solving regarding coding

Portfolio

These are examples of the work I have completed, and skills I have developed.

Machine Learning Foundations for Non-programmers

An online lecture focusing on elements beyond the traditional programming elements of machine learning. Most notably focusing on the foundations and theory of machine learning for a statistical audience.

Traffic Accident Dashboard

RShiny Dashboard, providing a visual illustration of the location of a sample of traffic accidents, from the open-access USA Accident Database.

Packages Use:

  • Shiny & Semantic Shiny
  • Semantic Dashboard
  • Tidyverse
  • Plotly & Leaflet

Applied Data Science and Visualization Course Website

RBookdown website, developed for the Utrecht University course: Applied Data Science and Visualisation Course.

Packages Use:

  • R-Bookdown
  • Github & Netlify Deployment
  • Hugo Theme: Learn

Contact