Welcome to my portfolio!
I'm a data analyst with a PhD background in education and seven years of teaching experience. I’m passionate about using data to uncover insights, tell meaningful stories, and support informed decision-making that drives positive impact.
Skilled in SQL, Python, R, and Tableau, I focus on data wrangling, visualization, and reporting to uncover trends and drive improvement. My education background strengthens my ability to interpret data critically and communicate insights clearly to diverse audiences. I’m always eager to learn, collaborate, and use data to create positive change.
I'm enthusiastic about new opportunities to apply my skills.
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Cleaned and merged Ministry of Education datasets using Python (Scikit-Learn, Statsmodels) for regression, cluster, and trend analyses.
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Built Tableau dashboards and Folium maps visualizing regional disparities in immersion education.
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Queried and analysed global customer and revenue data using SQL to assess market potential for online streaming.
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Delivered insights on high-value markets and genres through data visualization and reporting.
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Analysed purchasing behaviour using Python (Pandas, NumPy) to uncover trends in order timing, spending, and product preferences.
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Developed visual insights in Python (Matplotlib/Seaborn) to inform marketing strategies and improve customer retention.
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Cleaned and standardized influenza datasets in Excel; performed t-testsand correlation analyses to identify vulnerable groups.
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Created Tableau dashboards visualizing seasonal flu trends andmortality patterns across states.
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