📍 Buenos Aires, Argentina
I am a physician moving into pharmacovigilance and medical safety — a path I chose deliberately, because I believe the most meaningful safety insights come from someone who has lived the clinical reality behind the data.
With 10+ years in real hospital and fertility care settings, I know what it means when a number changes in a dataset — it's a patient, a decision, a life. That context is what I bring to every safety signal, pipeline, report and visualization I build.
Today I work at the intersection of clinical medicine and data science, focusing on pharmacovigilance signal detection, data reporting and multi-source analytics for pharma and health-tech contexts. Formally trained in Bioinformatics and Data Science, I build reproducible pipelines that translate complex healthcare and safety datasets into clear, actionable insights — because data only matters when people can understand it and act on it.
I invite you to explore my projects, which reflect my way of interpreting numbers within their proper healthcare and clinical context.
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Pharmacovigilance Signal Detection in FAERS (MSc Thesis, in progress) Python · SQL · MedDRA coding · Disproportionality analysis (PRR, ROR, BCPNN) 236M+ FAERS records processed · polypharmacy safety signals in reproductive medicine
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Personal Health Behavioral Analytics — Data Reporting & Visualization Tableau | Flourish | Datawrapper | RAWGraphs | Python | R 6-stage pipeline · 4 data sources · KPI reporting · web storytelling
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Public Health Hospital Analytics — PostgreSQL / OLAP SQL · KPI reporting · cost recovery · healthcare decision support
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Breast Cancer SVM Model Supervised ML · clinically relevant metrics · decision support
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Endometrial Organoid scRNA-seq Pipeline R · Seurat · 118.672 cells x 27.254 genes · reproducible bioinformatics workflow
Pharmacovigilance: MedDRA coding · FAERS · Disproportionality Analysis (PRR/ROR/BCPNN) · ICH-GCP Languages: R · Python · SQL Visualization: Tableau · Flourish · Datawrapper · RAWGraphs · Power BI (in progress) Data: PostgreSQL · ETL/cleaning · data transformation · KPI reporting ML/AI: Machine Learning · Deep Learning Bioinformatics: Seurat · scRNA-seq Tools: Git · GitHub · Excel (Advanced)
🔗 LinkedIn: https://linkedin.com/in/jimena-taciana-garcia 🔗 Email: garciajimenat@gmail.com 🔗 Portfolio: https://jigarcia-2.github.io