About
Accomplished, confident data professional with extensive experience in
fintech & payments.
Skilled in using SQL, Python, Databricks,
data visualisation, and data analysis to optimise processes and drive
strategic decision making.
Experienced in translating complex
data into actionable, pragmatic recommendations.
Work Experience
Data Analyst
- Data analyst with a focus on data quality and process optimisation.
Personal & Professional Sabbatical
- Took a short sabbatical for personal and family reasons, whilst using the opportunity to focus on personal development by enhancing my data analysis and visualisation skills (e.g. Tableau, Power BI, Snowflake, dbt, Looker, BigQuery).
Data Analyst
- Partnered with cross-functional sales, customer success, and data science teams; provided updates and received feedback to ensure alignment throughout integration lifecycles and generate business insights to support commercial teams, and facilitate rapid decision making.
- Conducted in-depth analyses on payments data using SQL, Python, and visualisation tools to provide actionable insights for stakeholders.
- Developed robust integration processes consolidating data from multiple sources through data cleaning, transformations, and merging; enabled efficient client onboardings leveraging automated data quality checks and schema mapping tools coded in Spark.
- Acquired extensive domain expertise in the payments ecosystem - transaction flows, chargebacks, fraud patterns etc. to drive data-driven solutions and process optimisations.
- Optimised team efficiency by creating reusable Spark tools for automated data quality testing, schema mapping, and transformations; significantly reduced manual efforts.
- Developed and implemented comprehensive technical documentation using Docusaurus and React, serving as the definitive guide for client developers integrating with Fraudio's fraud prevention platform - all of which dramatically increased onboarding speed.
Lead Researcher / Data Analyst [Part-Time 3-Month Project]
- Led a mixed-methods research project (psychology / social sciences) analysing data from 20 participants to understand the role of social interactions in psychological healing.
- Employed AI transcription services and conducted rigorous data quality checks (manual and automated) to ensure 100% transcript fidelity from audio recordings.
- Performed semantic analysis using LIWC on transcripts, surveys, and interviews to identify key themes.
- Collaborated with lab co-director to establish codebook guidelines; conducted thematic hand-tagging to provide foundational insights and establish data processes.
- Visualised complex data using Python (pandas, matplotlib, seaborn) to present findings to stakeholders effectively.
- Ensured data quality and integrity through comprehensive reliability checks on all data.
- Managed a research associate, delegating tasks and ensuring timely project completion.
Data Analyst
- Developed and implemented new data quality procedures, frameworks, and processes that eliminated all editorial errors in client products, ultimately making the clients' own QC measures redundant owing to the exceptionally high accuracy attained.
- Performed complex data analysis using Python, SQL, Excel, Google Sheets, Tableau, Spotfire, and R to generate reports and extract insights, ensuring high data quality standards across datasets.
- Continuously optimised workflows to increase efficiency, automate tasks, and maintain data quality standards.
- Designed and conducted live training sessions to upskill managers and team leads in data tools like Excel and Google Sheets.
- Created comprehensive documentation for new and existing projects to ensure knowledge transfer and scalability.
Music Content Editor
- Exclusively managed metadata and quality control for the DACH (German-speaking) music data market.
- Contributed to cross-functional projects including workflow documentation, productivity tracking, and international initiatives.
- Developed transparent, effective solutions to report, track and resolve issues impacting the entire music department.
- Continually streamlined personal workflows to enhance productivity and effectiveness.
Professional Musician & Educator
- Taught music theory and guitar to students of all skill levels through one-on-one and group lessons.
- Performed internationally as a freelance musician for cruise lines and function bands across Europe.
- Developed customised lesson plans tailored to each student's goals and learning style.
- Advised students on practice techniques, music psychology, equipment selection, and overall musical development.
- Expanded business by acquiring web design and marketing skills to enhance promotions and client outreach.
Skills
- Data Analysis
- Data Analytics
- Data Quality
- Stakeholder Management
- Python
- PySpark
- Databricks
- Project Management
- Data Visualisation
- SQL
- Spark
- Tableau
- Power BI
- Excel
- Technical Writing
- Business Intelligence
- Snowflake
- ETL
- Process Optimisation
- Payments Knowledge
- Git
- GitHub
- GitLab
- Data Warehouse
Education
Languages
Speaking
In the Zone: The Psychology of Flow
Interintellect salon: An exploration of the psychological phenomenon of flow states, based on the work of Hungarian researcher Mihály Csíkszentmihályi, including: the genesis of flow, learning to cultivate flow at will, and the implications of flow for generating meaning and momentum in one's life.
Nature vs. Nurture Part 1/2: Is Talent Actually A Thing?
Interintellect salon: An exploration of the hotly-debated nature of talent: its origins, its definitions, and even its very existence.
Nature vs. Nurture Part 2/2: Nurturing Our Nature and Cultivating Talent
Interintellect salon: An exploration talent. How can we best cultivate the talents we have – in our friends, our children, and (of course) ourselves?
"Not Here" Is Not A Destination: The Limits of Mental Models
Interintellect salon: An exploration of mental models, as popularised by the legendary investor Charlie Munger. We explore the genuine helpfulness of using mental models in a practical manner - as well as the dangers of blind adherence.
Other Projects
Alone/Together
Alone/Together was a collaborative art exhibition created by the Bloom Collective, a group of European artists and creatives who found connection during the isolation of the pandemic. The project explored themes of personal and collective experiences of the pandemic through various art installations and interactive experiences.
Key aspects of the project included:
- Visualising the collective's personal pandemic journeys through data-driven triptych artworks
- Exploring digital connection and communication patterns during isolation through interactive data visualisations
- Creating a full-sensory dinner party installation to reflect on belonging, loss, and re-emergence
- Blending traditional and AI-generated art to capture the group's shared experiences
The Alone/Together exhibition was made possible through an EU-funded i-Portunus Houses grant, which allowed the geographically dispersed Bloom Collective to gather and collaborate in person. The project demonstrated the value of physical, face-to-face collaboration in producing meaningful, immersive art experiences.