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jordanvt18/README.md

Jordan V

Head · Lead · Principal Data Science

Data & AI leadership for high-stakes decisions
Causal inference · Credit risk · Forecasting · Geospatial ML · Applied AI/LLM evaluation

LinkedIn Portfolio


About me

I design and lead end-to-end data science systems that convert uncertainty into measurable business decisions across Banking, FMCG, Retail, Agriculture, and the Public Sector in LatAm.

From strategy to production, I focus on statistical rigor, delivery speed, and decision impact.

Highlights

  • Lead cross-functional Data & AI initiatives from hypothesis design to production deployment.
  • Build causal and predictive systems for investment, risk, and operational planning.
  • Combine econometrics, ML, and product engineering to deliver executive-grade decision intelligence.

Focus areas

Area Leadership impact
Causal Inference Decision frameworks that quantify impact before capital is committed.
Credit Risk Lending and financial-risk models with transparent comparative analysis.
Forecasting Demand and risk time-series pipelines for proactive planning.
Geospatial ML Spatial intelligence for valuation, hazard, and monitoring systems.
Applied AI / LLM Evaluation Evaluation harnesses with measurable fidelity, reliability, and honesty metrics.

Selected work

Project What it delivers
Radar de Valorización Urbana Geospatial valuation intelligence for Quito & Guayaquil with multimodal ML + FastAPI delivery.
Commercial Causal Evals LLM-agent evaluation grounded in causal inference with golden datasets and strict quality metrics.
Banana Disease Detection Production-oriented computer vision for agriculture disease detection using PyTorch and OpenCV.
Ecuador Crime Analysis Spatial analytics and forecasting system with interactive decision dashboards.
Bioseguridad Camarón AI Early-warning modeling for aquaculture outbreaks with ETL, deep learning, and reinforcement learning.

Stack

Languages & Data: Python · R · SQL · PySpark · Databricks
ML & Methods: PyTorch · Scikit-learn · Causal Inference · Time Series · Spatial Analytics · Credit Risk
Delivery: FastAPI · AWS · Power BI · Tableau

Connect

LinkedIn · Portfolio

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  1. banana-disease-detection banana-disease-detection Public

    Plant-disease detection for banana crops with PyTorch (ResNet18) and OpenCV.

    Python 1

  2. commercial-causal-evals commercial-causal-evals Public

    Causal-inference LLM agent evals (sharp RD): frozen golden dataset, fidelity & honesty metrics.

    Python

  3. cotas-embalses-ecuador cotas-embalses-ecuador Public

    Monitoreo ciudadano, objetivo y reproducible de las cotas de los embalses Mazar, Amaluza y Sopladora (CELEC SUR) frente a comunicados oficiales. CRISP-DM + GitHub Pages.

    Jupyter Notebook

  4. ec-empleo-crimen ec-empleo-crimen Public

    Análisis CRISP-DM: homicidios intencionales y mercado laboral provincial en Ecuador (2018-2026), con fuentes oficiales

    Jupyter Notebook

  5. ecuador-crime-analysis ecuador-crime-analysis Public

    Spatial analytics, ARIMA forecasting and composite indices on Ecuador crime data, 2018–2026.

    HTML

  6. perfil-profesionalizacion-partidos-ecuador perfil-profesionalizacion-partidos-ecuador Public

    Índice de profesionalización de partidos y candidatos en Ecuador con ETL, API FastAPI, frontend interactivo y análisis estadístico reproducible.

    Python