Jimena Taciana Garcia

Jimena Taciana Garcia, MD

Data Reporting Analyst  ·  Healthcare Analytics  ·  Health Consulting  ·  Clinical Data & Visualization

I am a physician turned healthcare data analyst — a path I chose deliberately, because I believe the most meaningful 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. Today I specialize in data reporting, visualization and multi-source analytics for pharma and health-tech, building reproducible pipelines that translate complex healthcare datasets into clear, actionable insights for stakeholders.

Location: Buenos Aires, Argentina
EU Citizenship: Yes
Work mode: Remote / International
Focus: Data reporting · pharma · health-tech

Selected Projects

End-to-end analytical work combining clinical domain expertise with reproducible data pipelines and stakeholder-facing reporting.

Personal Health Behavioral Analytics — Data Reporting & Visualization
6-stage reproducible pipeline integrating 4 multi-source personal datasets (Apple Health, Spotify, Netflix, Mercado Libre). Developed 4 interactive visualizations — Tableau Bubble Heatmap, Flourish Line Chart, RAWGraphs Parallel Coordinates, Datawrapper Scatter Plot — each answering a specific analytical question about behavioral KPIs. Delivered as a narrative web-based storytelling report for non-technical audiences.
TableauFlourishDatawrapperRAWGraphsPythonRKPI reportingStorytelling
Live project → Repository →
Public Health Hospital Analytics — PostgreSQL / OLAP
Relational database in PostgreSQL to analyze hospital management and resource utilization. OLAP queries for hospital productivity, medication consumption, cost recovery and KPI reporting. Exploratory analysis to support stakeholder decision-making in public health resource allocation.
SQLPostgreSQLOLAPKPIsHealthcare analyticsData modeling
Repository →
Breast Cancer Classification — Machine Learning
SVM model for clinical decision support with emphasis on clinically relevant performance metrics (sensitivity, specificity, AUC).
PythonSVMModel evaluationDecision support
Repository →
Endometrial Organoid scRNA-seq Pipeline
Reproducible bioinformatics pipeline for 118,672 single cells × 27,254 genes. Seurat workflow for stem/progenitor marker identification.
RSeuratscRNA-seqReproducibility
Repository →