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I use data to find insights that address specific challenges. I turn those insights into clear visualisations and simple explanations that make information easier to understand and use.
My background in Economics and Statistics allows me to approach data with an interest in understanding patterns, relationships, and what they mean in practice.
I’m also developing my skills in data science, AI, and cloud technologies as I continue to grow in the field.
In my GitHub profile, you can find the projects I have completed in practice.
Connect with me to discuss the projects, potential collaborations or anything else.
✔ Query and manage data using SQL databases
✔ Clean and transform data using spreadsheets, Python and R
✔ Apply statistical techniques to explore data
✔ Create visualisations and dashboards in Tableau, Power Bi and Looker Studio
✔ Find patterns, build and deploy predictive models
✔ Version control using Git and GitHub
✔ Leverage cloud storage (AWS, GCP, Oracle) for scalable data storage and management
✔ Report writing and PowerPoint presentation
✔ Communication skills
✔ Time management
✔ Continuous learning
Data wrangling is not glamorous but essential. Every strong analysis begins with clean data. I take pride in making raw data analysis-ready to ensure models and visualisations are built on solid ground.
I bridge the gap between raw data and real-world decisions by translating complex datasets into actionable insights, presented in dashboards to help users grasp key trends, patterns, and priorities at a glance.
It’s not enough to have insights, they must be understood to drive action. I am interested in turning insights into clear narratives and presentations that support decisions across technical and non-technical audiences alike.
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