About me
Data Scientist with research and business exposure
I am focused on translating complex data into practical outcomes. My profile combines mathematical training, machine-learning experimentation, and business-facing analytics.
I am especially interested in biological data science, predictive modeling, and decision support systems built with clear and auditable metrics.
Core strengths
- Feature engineering and model evaluation for high-dimensional data.
- SQL-first analytics for reporting, monitoring, and data quality.
- Dashboard design for operational and management decision-making.
- Clear communication of technical findings to non-technical teams.
How I work
1. Define the question. Turn business or research needs into measurable objectives.
2. Build reliable data flows. Validate sources, clean inconsistencies, and track assumptions.
3. Model and evaluate. Compare baselines and advanced models with transparent metrics.
4. Communicate and iterate. Deliver results through concise narrative and visualization.
Tech stack
Comfortable across analytics, ML experimentation, and deployment-ready deliverables for teams.
Current focus
Building a portfolio that demonstrates measurable value in two fronts: scientific modeling and business intelligence.
If you want to collaborate, the fastest way to reach me is by email: andresmr997@gmail.com