Biography
I am a motivated and sociable data scientist, educator, and coach. I am passionate about the practical applications of data science and machine learning, with an aim to educate and inspire others to use these skills to tackle real-world challenges. I have been a coach to a range of individuals (career starters to Vice Presidents and Directors), from some of the world’s best companies, to support them becoming high-performing analysts and data science professionals.
I have experience organizing and delivering undergraduate and master’s university courses that covered topics such as data science, machine learning, analyzing and interpreting data, and research design. I also successfully obtained multiple funding grants (Google, MRC, NIHR, and the EPSRC) to develop world-class automatic seizure detection models and a portable bio-sensing platform, and conducted other applied machine learning and neuroscience research.
In my current role as a data scientist, I work with a range of stakeholders to understand their needs, designing and implementing data-driven solutions, and communicating the results of analysis. I play a key role in improving the data culture within the organization by promoting data-driven decision making and building a culture of data literacy.
- Data Science
- Machine Learning
- Neuroscience
- Drumming & Music
- Reading
- Gaming
- Rock Climbing
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PhD in Applied Statistics, 2020
Lancaster University
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MSc in Developmental Disorders (Distinction), 2016
Lancaster University
-
BSc in Psychology (1st Class), 2015
Lancaster University
Skills
Feature Engineering, Dimension Reduction, Hyperparameter Optimization, Classification, Regression, Forecasting.
Seaborn, Matplotlib, ggplot2, Microsoft Power Bi.
TensorFlow, Scikit-learn, Pandas, NumPy, PySpark.
Multilevel Models, ANOVA, T-Test, Correlation, Power Analysis.
Time Series Analysis, Wavelets, Fourier Transform, FIR/IIR Filters, Changepoint.
Tidyverse, Tidymodels, Shiny.
Excel, SQL, High-Performance Computing Cluster, Google Cloud, Databricks.
Experience
Designed and delivered workshops as part of a Level 4 Data Fellowship apprenticeship. I was a personal data coach to 42 highly impactful apprentices, who worked on projects that lead to outcomes such as…
- Recovering over £5 million from a new billing process.
- Saving $100k on a contract renewal using data analysis in negotiation.
- Automated reporting to save 4 hours a week on manual processes.
Average Performance Metrics:
- Coach Satisfaction: 5.5/6
- Workshop Satisfaction: 4.8/6
- Apprentice NPS: 52
- Manager NPS: 70
Administrative Roles:
- Member of the End-point-Assessment, Curriculum, and Social teams.
Delivered Masters and Undergraduate level Statistics/Computing courses to a combined total of over 1000 students in Course Organizer, Lecturer, or Tutor/Teaching Team roles (see Courses for details).
(Co-)supervised 26 Masters Projects:
- Anomaly Detection with Bayesian Neural Networks (Partnered with Lloyds banking)
- Statistical Models of Officer Commuting Time and Visiting Time (Partnered with Capita)
Administrative Roles:
- Post-Graduate Statistics Exam Editor
- ASA DataFest 2021 (Co-organizer)
- Personal Tutor for 30 MSc Students
Funded primarily via an ESRC (NWDTC) studentship, my research focused on developing hardware, software, and advanced quantitative methods for portable neurological monitoring of patients with epilepsy. The two main research projects were (see Projects for details):
- Automatic Detection of Epileptiform Discharges in Extra-cranial Electroencephalography
- Development of a Portable Bio-sensing Platform for Medical Research
Gained Associate Fellowship of the Higher Education Academy (HEA) whilst hired as a Teaching Associate for Masters and Undergraduate Psychology courses (see Courses for details).
Additional engagements include:
- Research associate applying new methodological techniques to environmental data.
- Post-graduate student representative for the Faculty of Science and Technology Research Ethics Committee.
- Co-supervision of two undergraduate research projects in Psychology and Computing and Communications.
- Member of Lancaster’s Data Science Institute and PROSPR (Promoting Open Science Practices).
Gallery
Projects
Machine Learning Workbooks
A series of workbooks for teaching machine learning in Python.
Automatic Detection of Epileptiform Discharges in Extra-cranial Electroencephalography
The use of machine learning algorithms for the detection of epileptic seizures.
Development of a Portable Bio-sensing Platform for Medical Research
An open-source bio-potential platform paired with a smartphone application.
Music
I’ve played drums in several metal/punk bands.
Seizure Detection Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets.
Courses
Appenticeship
Multiverse
I designed and delivered workshops for a Level 4 Data Fellowship () appenticeship programme to employees of the following companies (and more):
University
I have delivered Masters and Undergraduate level Statistics/Computing courses in Course Organizer (CO), Lecturer (L), or Tutor/Teaching Team (TT) roles:
Edinburgh University
2021/22
2020/21
- MATH11205: Machine Learning in Python (L)*
- MATH11203: Introductory Probability and Statistics (CO)
- MATH11176: Statistical Programming (TT)
- MATH11008: Probability and Statistics (CO)
- MATH08077: Introduction to Data Science (CO/TT)**
*Individually nominated for “Teacher of the Year” and “Outstanding Innovation in Digital Teaching” in the Edinburgh University Students Association Teaching Awards (SATA’s).
**Course nominated for an “Outstanding Course” award in the SATA’s.
Lancaster University
2017/19 & 2019/20
- PSYC401: Analyzing and Interpreting Data (TT)
- PSYC214: Investigating Psychology (TT)
- PSYC207: Personality and Individual Difference (TT)
Recent Publications
Other Professional Activities
Presentations
- IDCOM Seminar
- PyData Lancaster
- North West Epilepsy Interest Group
- Lancaster University Digital Health Exchange
- Lancaster University Data Science Group
Workshops & Events
- ASA DataFest Edinburgh 2021 (Co-organizer)
Journal Reviews
- Statistical Methods in Medical Research
Attendance
Workshops & Courses
- Preparing for Careers in Teaching Statistics and Data Science
- QwikLabs Google Cloud Platform
- Introduction to Good Clinical Practice
- eRum 2016
Conferences
Hobbies
Music
Although I do not currently play in a band (previous bands), I still listen and rate a wide variety of music.
Reading
Interested in non-fiction with recent favorites including: Calling Bullsh*t; Deep Medicine; The Four; Bad Blood; The Body: A Guide for Occupants; Doing Justice.
Gaming
Fan of story driven videogames, tabletop RPG’s (I DM a D&D game), and other social gaming.
Sports
Regularly rock climb and have grades in skiing and trampolining.