About Me
I am a dedicated and experienced data professional with a passion for exploring, analysing, and solving problems through the power of data. With over 10 years experience, I have honed my skills in leveraging data to drive actionable insights.
Having worked extensively in and for government agencies, I possess a deep understanding of the unique challenges and requirements of the public sector. My previous roles in data and statistics within government agencies have equipped me with valuable expertise in navigating complex data landscapes and delivering meaningful outcomes.
Currently serving as an Analytics Lead at Nicholson Consulting, I play a key role in leading and overseeing data projects. I bring a versatile skill set and proficiency in a wide range of analytical software, enabling me to effectively transform raw data into valuable insights that resonate with diverse audiences, including non-technical stakeholders.
Experience
As an Analytics Lead at Nicholson Consulting, my primary focus is on delivering value to our clients. I take the lead in overseeing projects and work closely with our CEO, Senior Data Scientists, and Data Scientists to ensure that we provide the best possible solutions for our clients' needs. By collaborating closely with our clients, we understand their unique challenges and goals, allowing us to tailor our analytical projects to deliver tangible value and meaningful insights.
As a Senior Data Scientist at Nicholson Consulting, my duties involved having a lead role working collaboratively with our CEO, Senior Data Scientists, Data Scientist, Software Developers and clients to deliver analytical projects.
As a Data Analyst at the Electricity Authority, my duties involved analysing and building models using New Zealand electricity data. I gained experience using complex optimisation modelling techniques.
In April 2016, the Social Sector Investment Change Program became the Social Investment Unit and, in July 2017, the Social Investment Unit became the Social Investment Agency. I was seconded as a Senior Analyst. My responsibilities in this role included using Statistics NZ's Integrated Data Infrastructure (IDI) to explore and understand the effectiveness of government investment in social services.
From October 2015 I was part of the Social Sector Investment Change Programme (SSICP). My role involved coordinating and helping to project manage a software proof-of-concept which included stakeholder engagement with both NGOs and a variety of government agencies.
In September 2015 I was located at the Treasury to work with the Analytics and Insights team. I helped to analyse and understand the life pathways of young New Zealanders using Statistics New Zealand’s Integrated Data Infrastructure (IDI).
My role at the Ministry of Social Development was as a Forecasting and Costing Analyst. My responsibilities included regular forecasting of Vote Social Development appropriations and cost modelling of benefit-related policies.
I worked as a Statistical Analyst at Statistics New Zealand. I worked in the Statistical Methods unit where my role utilised my expertise in a variety of methodological areas.
Projects
The following are a collection of side projects I previously worked on in my spare time.
rmarkdown to visualise the results from the WRUG community questionnaire.
Skills & Proficiency
R & Shiny
SAS
Statistical Analysis
Project Management
SQL
JavaScript & HTML
Git
Python
Node.js
Published Work
R Playground
# This will get executed each time the exercise gets initialized
# Have a go!
library(ggplot2)
library(dplyr)
ggplot(mpg, aes(reorder(class, class, function(x) length(x)))) +
geom_bar(fill = "grey", width = 0.6) +
geom_bar(data = filter(mpg, class == "suv"),
fill = "steelblue", width = 0.6) +
coord_flip() +
ggtitle("SUVs make up the largest number of cars in this dataset!") +
xlab("Class") +
theme_minimal() +
theme(panel.grid = element_blank(),
panel.background = element_rect(fill = "transparent",
colour = NA),
plot.background = element_rect(fill = "transparent",
colour = NA),
axis.line.x = element_line(colour = "grey"),
axis.ticks.x = element_line(colour = "grey")
)