A M Y L Y T I C S

Editorial data scientist using analysis, visualisation, storytelling and prediction to solve problems and initiate change

My projects

Areas of interest

A look at some of the things I love working on

Data selection and cleaning

Finding and merging hard to find datasets

Exploratory analysis

Analysing the raw data to give insights into collection, variable correlations and anomalies

Frequentist data analysis techniques

Applying conventional modelling solution to problems to highlight areas of concern

Data analytics

Using the data to tell stories and creating models to help in prediction of future outcomes

Data mining and machine learning solutions

Delving deeper into statistical and machine learning tools to tease out trends and seasonalities to expose true relationships in datasets

Cutting edge modelling

Bayesian MCMC and mixed effects modelling, as well as generalised linear models, generalised additive models

P O R T F O L I O

Using data to tell stories and uncover patterns and relationships revealed by datasets. Take a look at some of the past and present projects I’ve worked on.

Projects
Predicting house sparrow count across Greater London
Looking at the relationship between GDP and biodiversity index
Using biopython to investigate the likely source of the SARS-COV-2 virus

A B O U T M E

Hi, I’m Amy Walker. I’m trained in data analytics, I have an extensive background working with large and varied datasets using advanced statistical methods. I recently expanded my skill set to topics including mixed effects models and Bayesian modelling using RJAGS, and I’m excited to keep learning new methods in a challenging and fast-paced environment.

Combining data with storytelling

  • MSc in data analytics from Glasgow University
  • Investigative journalist with 20 years experience as a producer in current affairs and investigative documentary for major UK broadcasters including BBC, Channel 4, ITV, Channel 5 and Discovery
  • Able to combine editorial and production skills with data analytics to create new and in-depth perspectives on contemporary datasets
Tourist taking photo of a building

“Amy is super analytical and able to pick out important conclusions from a stack of data.”

Lynn Ferguson

Managing director, Contemporary TV

T E C H N I C A L S K I L L S

  • Classical predictive modelling methods – GLMs, GAMs
  • Machine learning modelling including Random Forests, Support Vector Machines, Quantitative Text Analysis, and Image Identification
  • Data Mining and Machine Learning Methods
  • Spatial analysis
  • R and Python programming
  • Bayesian MCMC
  • Bioinformatic analysis of genome sequences

S O F T S K I L L S

  • Strong written, presentation, storytelling and communication skills
  • Excellent visualisation skills, including courses on Tableau
  • Ability to think creatively to solve problems
  • Keen to constantly learn new technologies
  • Experienced working under pressure and to short deadlines evident on many fast turnaround current affairs documentaries

C O N T A C T

I’d love to hear from you. You can email me here:

Or connect on LinkedIn or Twitter