Marcelo Katogui

Co-Founder

Alicante, Spain1 yr 9 mos experience

Key Highlights

Expert in building decision-grade AI systems.
Proven track record in health economics and data science.
Strong background in automating complex workflows.

Stackforce AI infers this person is a Data Science and Health Economics expert with a focus on automation and decision systems.

Contact

Skills

Core Skills

Business Process AutomationData Systems ArchitectureR ShinyAwsPublic HealthData ScienceMachine LearningData Analysis

Other Skills

Workflow AutomationR (Programming Language)DockerAmazon Web Services (AWS)RShinyGitSQLMicrosoft AzureHealth PolicyResearch and DevelopmentForecastingPythonData MiningPredictive Models

About

I build AI systems that make decisions execute themselves, no dashboards to interpret, no manual steps to forget. Currently developing health economic evaluation tools (CEA/BIA) for the pharmaceutical industry, deployed on AWS with R and Shiny on Posit Connect. Previously built epidemiological reporting systems for the ECDC, predictive models for US agricultural markets, and marketing mix models for brands like Pernod Ricard and Merck. My background spans econometrics, data science, and applied software engineering, with work across healthcare, pharma, logistics, agriculture, and public-sector environments in Europe and the United States. What ties it all together is a focus on decision-grade systems: automation where logic is explicit, reproducible, and embedded directly into execution. At Katonométrica, my consultancy, we eliminate operational friction, transforming manual, error-prone processes into reliable digital systems by integrating econometrics, data science, and software engineering. The emphasis is on durability and scalability: pragmatic technology choices, clear system boundaries, and solutions designed to hold under real operational load. Stack: R, Shiny, Python, SQL, Docker, AWS, Azure, Power BI, Git, Posit Connect

Experience

1 yr 9 mos

Total Experience

7 mos

Average Tenure

Current Experience

Katonométrica

Founder & Lead Systems Engineer

Nov 2024 – Present · 1 yr 6 mos · Spain · Remote

I build and operate production systems that replace manual execution. Automation, decision logic, and system integration.
Current & recent engagements
Pharmaceutical / Health Economics (2024 – Present): Developing interactive R/Shiny tools for Cost-Effectiveness Analysis (CEA) and Budget Impact Analysis (BIA) models for a pharmaceutical company, supporting evidence-based evaluation of the economic impact of new drugs. Deployed on AWS via Posit Connect with CI/CD through GitHub DevOps.
Scope across all engagements:
Workflow and reporting automation
Internal tools and operational dashboards
SaaS platforms from MVP to production
Data pipelines, forecasting, and embedded analytics
R-based systems and production data engineering
Clients operate in healthcare, pharma, logistics, finance, agriculture, and the public sector across Europe and the US.
Stack: R, Shiny, Python, SQL, AWS, Docker, Posit Connect, Azure, Power BI, Git

Business Process AutomationWorkflow AutomationData Systems ArchitectureR (Programming Language)R ShinyDocker+1

Bilbomática

Software Programmer

Dec 2023 – Dec 2024 · 1 yr · Bilbao · Remote

Consulted for the European Centre for Disease Prevention and Control (ECDC), contributing to multiple epidemiological surveillance and reporting systems used across EU member states.
Key projects:
EpiReport2: Maintained and enhanced the EpiReport2 R package, developing new functions to generate figures and textual content for the Annual Epidemiological Reports (AERs).
EpiPulse: Built advanced R routines for data processing and validation, connected to SQL Server and served through a user interface. Deployed within Docker containers for scalability and reproducibility.
EpiGEM: Facilitated the transition from EpiReport to EpiGEM, ensuring improved functionality and adaptability for researchers generating ad-hoc standardized reports.
AERs: Supported epidemiologists in rendering standardized tables and graphs for annual publications.
Stack: R, Shiny, SQL, Docker, Azure DevOps, Git, HTML, CSS, JavaScript

SQLMicrosoft AzureDockerR ShinyR (Programming Language)Public Health+1

Kynetec

Data Science Consultant

Jan 2022 – Nov 2023 · 1 yr 10 mos · Remote

Provided data science consulting for Kynetec USA Inc., a global leader in agricultural market intelligence, through Katonometrics LLC. Contributed to Kynetec's Predictive Intelligence Suite.
Automated ETL pipelines (extraction, transformation, loading) in R to prepare datasets for machine learning models at scale.
Developed econometric models to predict agrochemical market variables across US states and pesticide types.
Built interactive R/Shiny applications on top of statistical and ML models, enabling users to explore predictions and scenarios interactively.
Stack: R, Python, Shiny, Git, Bitbucket, Power BI, Databricks

Data ScienceResearch and DevelopmentData AnalysisMachine LearningForecastingPython+9

Buenos aires' grain exchange center

Economic Research

Jul 2021 – Dec 2021 · 5 mos · Buenos Aires, Argentina · On-site

Estimated demand for agricultural raw materials using state-of-the-art statistical models in R. Automated recurring reporting workflows (daily, weekly, and monthly) using R and R Markdown, increasing the efficiency and speed of information delivery for both internal and external use.
Stack: R, R Markdown, Shiny, Power BI, Git

RR MarkdownShinyPower BIGitData Analysis

Market fusion analytics

Marketing Mix Modeler

Feb 2021 – Jul 2021 · 5 mos · Remoto

Developed marketing mix models for major consumer goods companies including Pernod Ricard and Merck, covering the United States, Canada, and 15+ high-income markets.
Applied econometric techniques to measure the effectiveness of marketing strategies and optimize advertising budget allocation. Delivered model-driven recommendations that enabled clients to make informed decisions on media spend across channels and geographies.
Stack: R, Power BI, PowerPoint

Analytica agricultura & economía

AgroEconomist

Jan 2020 – Nov 2023 · 3 yrs 10 mos · Remote

Built data processing pipelines and analytical tools for agricultural market intelligence. Designed automated workflows for cleaning and transforming raw market data into structured datasets ready for analysis.
Created interactive Power BI dashboards for agricultural commodity reporting, enabling clients to monitor market trends, pricing dynamics, and regional performance. Delivered periodic market reports combining quantitative analysis with domain-specific interpretation.
Stack: R, Power BI

Mebur

AgroEconomist

Jan 2019 – Jan 2020 · 1 yr · Ciudad Autónoma de Buenos Aires · On-site

Analyzed barley trade flows and global commodity markets to inform commercial strategy for an Argentine grain export company. Classified export data by destination, volume, and timing to identify new business opportunities and diversification targets.
Established technical parameters for financial evaluation of an investment project. Built analytical tools for trade flow monitoring and market intelligence using R and Power BI.
Stack: R, Power BI, Excel