Professional Journey
BSc Geography | First Class Honours
Sep 2016 - Aug 2019
Intern Water Resource & GIS Analyst
Mar 2020 - Aug 2020
Water Resource & GIS Analyst
Aug 2020 - Jun 2021
Water Resource Consultant
Jul 2021 - Oct 2021
MSc GIS | Distinction
Sep 2021 - Aug 2022
Product Development Analyst
Dec 2022 - Jan 2024
Analytics Engineer
Jan 2024 - Present
Durham University
BSc Geography First Class Honours
My undergraduate degree provided me with an excellent foundation in data collection, analysis, and presentation.
Key areas of study included Fluvial Systems, Remote Sensing, Machine Learning, Natural Hazards, and Glaciology. I achieved
a 1st Class dissertation studying the effects of dam removal on planform river channel migration
downstream on the Elwha River, Washington, primarily using ArcGIS and Microsoft Excel.
Throughout my degree there was an emphasis on group fieldwork projects and presentations within which I
excelled. In the Lake District, UK, bedload transport and flood capacity of St John’s Beck was
analysed, and in the Arolla Valley, Switzerland, the avulsion frequency and surface evolution of the
Satarma debris fan was studied. In these tasks’ teamwork,
efficiency, and organisation were essential to complete comprehensive data collection, analysis, and
presentation within time restraints.
Beyond subject-specific knowledge, my undergraduate education honed key transferable skills. I developed strong
problem-solving abilities, fostered critical thinking, and refined my report-writing skills. This well-rounded education
not only broadened my understanding of geospatial sciences but has also equipped me with a versatile skill set applicable
across various professional domains.
Mekong Modelling Associates
Intern Water Resource & GIS Analyst
During this internship experience I completed a flood modelling report for the ADB working in association with Landell Mills as part of
regional project focussed on strengthening integrated flood risk management across 8 countries in
South-East Asia.
For this report I developed a 2D HECRAS flood model for the Chaung Magyi River
downstream of Sedawgyi Dam in Mandalay, Myanmar, assessing the impact of design flood events on
downstream populations. This project allowed me to gain valuable experience in flood modelling,
remote sensing and GIS, using HECRAS,
QGIS, Google Earth Engine and SNAP, within which I developed a DEM from Sentinel-1 imagery.
I also assisted other sub-projects within the ADB scope included spatial analysis of flood model
projections in Pakistan. I worked on national sector assessments for the 8 countries, involving
data analysis and presentation in the form of maps and graphs for key indicators of social, economic,
and environmental development.
Further, I developed mapping for an AFD report on the development of
transboundary water management between Thailand and Cambodia, focussing on optimising water resources
in response to drought and flood impacts in the provinces of Beantey Meanchey and Oddar Meanchey.
Mekong Modelling Associates
Water Resource & GIS Analyst
This role began with a contract with MOWRAM (Ministry of Water Resources and Meteorology), researching
water security in the Lower Mekong catchment. During this project I developed a full scale 2D HECRAS
flood model, aggregating data from numerous sources such as surveys, schematics, gauge data and flood
extents derived from satellite imagery to develop and calibrate the model.
Other projects included a flood hazard mapping project in the Chindwin and Central Ayeyarwady basin
in Myanmar, an ADB project in Indonesia with a focus of strengthening integrated flood risk management
and continuing some of the projects from my internship including the AFD transboundary project and the
ADB sector assessment study.
These projects helped further develop my GIS, remote sensing, flood
modelling and data analysis skills, primarily using QGIS, HECRAS, Google Earth Engine, R and Excel.
People In Need
Water Resource Consultant
This independent consulting contract involved developing a 2D HECRAS flood model of Battambang, Cambodia,
as part an 18-month project titled ‘Strengthening Climate Information and Early Warning System in
Cambodia to Support Climate Resilient Development and Adaptation to Climate Change’, under the Cambodia Climate
Change Alliance (CCCA) Innovation Project.
The model was built using a high
resolution DTM with a cross-sectional bathymetric survey and limited calibration data. Extensive analysis
of geospatial, hydrological, and meteorological data was completed using R and QGIS, with Machine Learning
used to classify land cover using Random Forest Methods.
This project improved my technical abilities using R, QGIS and
HECRAS, also providing great experience in independently developing and implementing a project under tight time restraints.
University of Edinburgh
MSc Geography Distinction
My MSc experience greatly improved my technical ability to manipulate, store, analyse and present geospatial data
using tools such as Python, SQL, bash, R, QGIS and ArcGIS extensively.
I also gained experience with web development
using HTML and CSS, multi- and hyperspectral image analysis using ERDAS Imagine, Agisoft Photoscan and
Google Earth Engine, and many intermediary projects combining these techniques.
A key component of this degree was team work, where we quickly had to implement work plans with a diverse range of
skills to meet short deadlines.
My dissertation was titled: 'Using Explorative
Network Analysis Methods to Investigate Edinburgh’s Road & Bus Networks in
the Context of Smart Cities'. The main premise was to use graphy theory to analyse various connectivity metrics
of Edinburgh's
road and bus networks to investigate variable relationships and possible optimisation. Self-organising maps were used to conduct
multi-variate analysis.
Ecometrica
Product Development Analyst
My role as Product Development Analyst was centered in research & development, developing global scale geospatial data
products for historic, present, and climate-projected physical and transition risk indicators accessible
via an API. Example datasets include global Sea Level Rise Exposure Risk and Wildfire Risk under
different SSP climate scenarios for 2050 and 2100.
This role greatly improved my ability to process, store and analyse vast amounts of geospatial data using Python, Bash and
PostgreSQL, also exposing me to the AWS cloud infrastructure.
A key skill developed through this experience was my ability
to automate tasks, optimising workflows from data ingestion to API product exposure, saving vast amounts of time to
maximise efficiency and minimise error.
Ecoonline
Analytics Enginner
In my current position at Ecoonline I have continued to develop my technical skills using Python, Bash and PostgreSQL
with a greater focus on creating geospatial
and non-geospatial products, focussing on scalability and automation to bring value faster to clients, enabling them to comply with
ESG frameworks such as TCFD & CSRD.
With this new focus, I have gained greater experience using Python, Bash and PostgreSQL in non-geospatial workflows such as
dissecting vast framework pdfs into data structures as part of our framework product workflow, and developing pipelines in python
to generate Climate Risk insights.