Data Analyst | Aspiring Data Scientist | Fintech-Focused
I work at the intersection of data, systems, and decision-making — turning raw datasets into structured insights that drive measurable outcomes. With a background in Biochemistry and hands-on experience in analytics, I bring a scientific approach to problem-solving and apply it to modern data challenges.
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🔭 Currently working as an Insight & Analytical Analyst
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📊 Focused on data analytics, predictive modelling, and user behaviour analysis
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🏦 Strong interest in fintech, financial systems, and data-driven products
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🧠 Exploring machine learning, cloud data infrastructure, and scalable analytics
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🌱 Currently learning:
- Azure Data Fundamentals
- Machine Learning with Python
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🎯 Long-term goal: Build robust data systems and models that influence real-world decisions at scale
- Data Analysis & Visualisation
- Predictive Modelling (Python)
- Data Cleaning & Transformation
- Exploratory Data Analysis (EDA)
- Dashboarding (Power BI)
- Analytical Problem Solving
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📈 User Behaviour Analytics Analysing engagement patterns to identify high-value users and improve retention
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🧮 Financial & Fintech Data Working towards modelling financial systems, transaction data, and risk signals
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⚙️ Data Infrastructure Exploring scalable solutions (BigQuery, cloud platforms, data pipelines)
- 🔍 Analysing top 10% user behaviour using large-scale login datasets
- 🤖 Building predictive models to identify high-engagement users
- 📊 Developing dashboards linking usage patterns to services and outcomes
Good data tells you what happened. Great data tells you what to do next.