Available to hire
I am a B.Sc Computer Science student at the University of British Columbia with a focus on data analysis and data management.
I enjoy turning complex clinical data into actionable insights using Python, R, SQL, and Power BI. I collaborate across BC and Seattle to translate research questions into robust data systems and dashboards.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Language
Afar
Advanced
Javanese
Advanced
Work Experience
Data Analyst/Data Management (part-time) at BC Cancer Ovarian Cancer Research
January 1, 2026 - January 1, 2026Developed and maintained analytics pipelines supporting a standardized database integrating clinical, molecular, lab, and patient-reported data from across British Columbia. Developed a comprehensive use case flowchart mapping system requirements and workflows for integrating databases for a clinical trial. Collaborated with research scientists to understand their research and needs to design REDCap projects for structured patient data collection. Created and maintained Power BI dashboards by querying relational databases using SQL, enabling research scientists to visualize and explore key data insights. Ensured data accuracy and integrity across multiple reporting sources by creating data validation and quality control procedures.
Field Engineer Intern at Turner Construction Company – TRIUMF/BC Cancer IAMI New Cyclotron Project
August 1, 2024 - August 1, 2024Documented Protocols CUT&Tag Data Processing and Analysis. Analyze Genomic Repeat Regions. DESeq Analysis. Gene Set Enrichment Analysis.
Data Analyst at Fred Hutchinson Cancer Research Center, Greenberg Lab Immunology
March 1, 2024 - March 1, 2024Learned and completed projects using seven different software packages in Python, Unix, and R using remote servers. Collaborated with research scientists to understand their data analysis needs and provide insights. Developed and modified data processing pipelines that optimize the transformation of large research data into understandable results and visuals. Tailored existing protocols and authored new protocols documenting a step-by-step recreatable pipeline for analyses on time series data: DESeq, Gene set enrichment, Motif finding, Genomic repeat regions, Peak calling, and CUT&Tag.
Education
B.Sc in Computer Science at University of British Columbia
September 1, 2021 - December 1, 2025Qualifications
Industry Experience
Healthcare, Life Sciences, Professional Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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