About & experience

About me.

I’m interested in how technology can make complex work simpler. My background is in finance, where I’ve worked on forecasting, reporting and financial systems — translating requirements, improving workflows and helping teams make informed decisions.

I’ve worked across business and technical teams, bringing together different perspectives and communicating findings to senior stakeholders. Alongside this, I’m building GradPlan, taking responsibility for what to build, how it should work and how to improve it.

Experience.

Vista

Treasury Analyst

SEP 2026 — PRESENT

Treasury at a global private aviation business, with earlier FP&A experience across financial systems, forecasting and reporting.

Manage daily cash forecasts across global entities, incorporating cash movements, cash in transit and expected receipts and payments.
Prepare group cash position reporting, monitoring liquidity, foreign-exchange movements and revolving credit facility activity.
Analyse receivables and client collections across entities and currencies to inform short-term liquidity planning.

FP&A Analyst

SEP 2025 — SEP 2026

Translated FP&A requirements into Anaplan specifications with Bedford Consulting, mapping warehouse integrations and data flows.
Standardised multi-entity reporting inputs and built a SQL/Python/Streamlit workflow for executive reporting.
Developed a rolling 28-day demand forecast and chaired a weekly forum across Pricing, Operations, Fleet and FP&A.
Built unit economics and fleet profitability reporting to support acquisition, leasing, utilisation and planning decisions.

Cash & liquidityFinancial systemsCross-team planning

Connecting finance requirements to implementation

Problem. The Anaplan implementation needed clear FP&A requirements and a shared understanding of warehouse-to-platform data flows.

My contribution. I worked with Bedford Consulting to translate the requirements into technical specifications and map integration dependencies.

Result. Business requirements were connected to implementation specifications and the data flows needed to support them.

Standardising an end-to-end reporting workflow

Problem. Multi-entity reporting relied on fragmented processes and differently structured outputs.

My contribution. I standardised downstream reporting inputs and built a SQL/Python/Streamlit workflow for executive reporting.

Result. Consistent inputs supported an automated reporting workflow for senior stakeholders. An accounting restructure also accelerated the upstream close; my contribution was downstream standardisation and automation.

Bringing forecasts into cross-team planning

Problem. Emerging demand patterns needed to be understood across teams with different operational priorities.

My contribution. I developed a rolling 28-day forecast using historical booking curves and live bookings, and chaired the weekly forum across Pricing, Operations, Fleet and FP&A.

Result. The forecast and forum supported a shared discussion of demand patterns and coordinated planning decisions.

GradPlan

Founder & Product Lead · Part-time

DEC 2024 — PRESENT

Developing a career platform around the end-to-end application journey.

Mapped user journeys, workflows and failure states, turning user needs into defined product requirements.
Owned scope, roadmap and Jira priorities, balancing user value, technical feasibility, cost and delivery effort.
Built frontend functionality in HTML, CSS and JavaScript, alongside Node.js APIs and integrations.

User journeysPrioritisationHands-on development

Explore the case study

Williams Racing

Finance Analyst · Operations & Car Programme

AUG 2023 — AUG 2024

Financial and operational analysis for FW45/46 production, with reporting and quantity models informed by feedback across Finance, Design Office, Operations and Programme Management.

Finance Analyst · Operations

DEC 2023 — AUG 2024

Analysed labour, machining, material and production costs, investigating financial and operational variances.
Compared turnkey procurement expenses with in-house production costs and capacity to inform operational decisions.

Finance Analyst · Car Programme

AUG — DEC 2023

Built and iterated Power BI and SQL reporting and quantity models, incorporating requirements and feedback from the teams using them.
Modelled component demand and replenishment trade-offs for the 2023 Japanese Grand Prix, presenting findings to senior leadership.

Production analysisReporting & modelling

Making information useful for operational decisions

Problem. Production decisions needed a clear view of component availability, cost and timing.

My contribution. I built and iterated Power BI and SQL reporting with feedback from Finance, Design Office, Operations and Programme Management, and modelled component demand for the 2023 Japanese Grand Prix.

Result. The reporting and analysis informed production oversight and discussions of availability and replenishment trade-offs with senior leadership.

These examples are described at a high level to protect confidential employer information.

Maven Search

EMEA FIG IB Research & Data Analysis Intern

JUL — SEP 2022

Market research and structured data supporting executive-search work.

Produced organisational maps across 25+ investment banks using LinkedIn Recruiter, FCA records, BrokerCheck and Bloomberg research.
Created banker profiles from Analyst to Managing Director level, presenting findings to Maven’s EMEA Banking team.

Learning by doingSEP 2025 — JUN 2026

IBM Data Science.

Professional Certificate · Coursera · 12 courses completed

Completed alongside my other work, covering Python, SQL, databases, data analysis and machine learning.

IBM Data Science capstone · Coursework

Predicting Falcon 9 landing success.

I used APIs and web scraping to collect launch data, then classification models to investigate landing success in the final graded project.

Working with historical launch data was an exercise in prediction: a model’s output needs to be interpreted alongside the evidence and limitations behind it.

The project strengthened my understanding of how data is collected, how models are evaluated and where their outputs need to be treated cautiously.

Tools & systems.

Analysis & reporting

SQL · Python · Power BI · Tableau · Streamlit

Systems & development

Anaplan · Jira · HTML, CSS & JavaScript · Node.js · Firebase

Education & continued learning

Royal Holloway, University of London

BSc Politics, Philosophy and Economics · Upper Second-Class Honours (2:1) · 2025

ICAEW ACA

Certificate Level completed; studies ongoing.

IBM Data Science Professional Certificate

Completed June 2026. Coursework and capstone ↑

Outside my day-to-day work

At Royal Holloway, I was President of the Sri Lankan Society, working with a committee to organise cultural, social and charitable events.

Early career programmes

J.P. Morgan Investment Banking Virtual Experience · March 2022. Freshfields Insights Week · August 2020.

Undergraduate research · September 2024–June 2025

Formula One, Sportswashing and Gulf-State Diplomacy. A comparative study of 120+ media and NGO articles, with a Python pipeline using Requests, Beautiful Soup and pandas for collection, cleaning and analysis.