I'm a BS Statistics student (University of the Philippines Diliman, expected 2027) with hands-on experience cleaning, merging, and analyzing real-world datasets — most notably a 7-phase pipeline unifying 8 Philippine regional geographic datasets, and a co-authored regression analysis of food expenditure patterns across 79 provinces using official government data (R² = 0.656).
I'm comfortable with Python (pandas), SQL, and R for data cleaning and analysis, and I'm currently building dashboard skills in Power BI and Looker Studio to support recurring reporting work, the kind of ongoing, automated reports businesses rely on instead of one-off spreadsheets.
What I bring: strong analytical fundamentals, attention to detail in data quality work, and a track record of learning tools quickly and applying them to real projects rather than just tutorials. I'm looking for opportunities where I can grow into a long-term data analyst or BI reporting role, supporting your team with clean data, clear dashboards, and dependable turnaround.
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