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.
Experience: Less than 6 months
Analyzed multi-source datasets to identify patterns and prepare data for reporting, including a regression analysis of food expenditure across 79 Philippine provinces (R² = 0.656)
Experience: 6 months - 1 year
Comfortable writing SQL queries for filtering, joining, and aggregating data across relational tables.
Experience: 6 months - 1 year
Used R for statistical analysis, including a co-authored regression study on provincial food expenditure using PSA data.
Experience: 6 months - 1 year
Experience gathering and consolidating data from multiple government and public sources for analysis projects.
Experience: 6 months - 1 year
Experienced in cleaning, merging, and analyzing datasets using Python (pandas) and R, with a focus on turning messy raw data into structured, decision-ready outputs. Completed a 7-phase data cleaning and merging pipeline combining 8 Philippine regional geographic datasets, including column isolation, text normalization, and automated cleaning functions with manual handling for edge cases, into a single unified dataset. Also co-authored a statistical analysis of food expenditure patterns across 79 Philippine provinces using official government data (R² = 0.656). Comfortable with SQL querying, pivot-table analysis in Excel/Sheets, and building foundational dashboards in Power BI. Currently expanding BI/reporting skills to support recurring dashboard work.
Experience: 6 months - 1 year
Created charts and tables for an analysis on the driving factors that influence food expenditure share across Philippine Provinces in R. Building foundational skills in Power BI and Looker Studio for dashboard creation; comfortable with chart-based reporting in Excel/Sheets.
Experience: Less than 6 months
Working knowledge of Power BI fundamentals; currently building dashboard projects to strengthen reporting and automation skills.
Experience: Less than 6 months
Developing analytical skills applicable to business metrics and KPI reporting, building on a statistics background.
Experience: Less than 6 months
Currently learning Looker Studio (Google Data Studio) to build dashboards from cleaned datasets.
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