Data Analytics Portfolio
I'm a Data Analyst who builds end-to-end analytics projects from data cleaning to storytelling. I combine technical skills with clear communication to translate complex findings into actionable insights that stakeholders can actually use.
About
I'm a Data Analyst transitioning from research and programme management with a sociology background from SUSS. After working in roles where I glimpsed the power of data, I formalized those skills through General Assembly's AI Native Data Analytics Bootcamp (April 2026). I believe that behind every dataset is an opportunity to uncover patterns, tell compelling stories, and drive better decisions.
I build end-to-end analytics projects - from data cleaning and exploration to machine learning models and interactive dashboards. I work with SQL for data extraction, Python for analysis and modeling, Tableau for visualization, and AI tools like Claude and Gemini to accelerate workflows. My focus is on creating work that's clear, practical, and decision-ready.
My background in research and operations taught me to communicate with diverse stakeholders and think systematically about problems. I don't just analyze data - I translate it into stories that non-technical audiences can understand and act on. I bring analytical rigor with a human touch, leveraging AI as a force multiplier while keeping data storytelling firmly in human hands.
Skills & Tools
Featured Work
Built an NLP-powered recommendation engine achieving 98.73% accuracy in classifying podcast episodes by social commentary themes. Processes 400+ episodes with 4 rounds of text preprocessing to eliminate data leakage. Features transparent recommendations with theme tags, keyword explanations, and real-time predictions. Deployed as a live Streamlit web app for public use.
View on GitHub Try Live DemoTeam project analyzing 270,000+ HDB transactions to build a dual-model system: price prediction (95% accuracy, ±$38K error) and town recommendation (99% accuracy). Engineered features like Liveability Index (school proximity, MRT access, amenities) and Flat Type Mix Score to capture real human decision-making in property selection.
View on GitHubAnalyzed 78 years of electoral history (1968-2025) using data journalism techniques. Uncovered how opposition vote share grew from 13.3% to 34.4% while walkover seats collapsed from 51 to just 1. Built interactive Tableau dashboards showcasing key performance metrics and translated findings into strategic insights for political stakeholders.
View on GitHubEvaluated 82,935 employer submissions under UK's 2017 Gender Pay Gap reporting mandate. Used SQL to analyze patterns across industries, company sizes, and regions. Revealed a 15.8% median pay gap with insights on SME reporting coverage gaps and sector-specific disparities that could inform policy improvements.
View on GitHubLet's Connect
I'm actively seeking Data Analyst, Research Analyst, or Business Analyst roles where I can apply my skills to solve real-world problems. Whether you're hiring, looking to collaborate, or just want to discuss analytics - I'd love to hear from you.