Hi, I'm

Carlos Aizaga

Economist with M.Sc. in Data Science and 7+ years applying rigorous quantitative methods to socioeconomic challenges — from field survey design and econometric modeling to automated ETL pipelines and interactive BI dashboards.

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Carlos Aizaga
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About Me

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Years Experience

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Featured Projects

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Articles Published

I bridge the gap between economic theory and modern data science — transforming complex socioeconomic data into clear, actionable insights. With a background in Economics and a Master's in Data Science, I specialize in quantitative research methodologies, econometric modeling, and survey design applied to development, labor markets, and business contexts.

Currently, I work as a Quantitative Consultant at Strattos.io, designing automated ETL pipelines and predictive models for development projects across Latin America. I also teach Strategic Economics at Universidad Israel, bridging academic rigor with practical data analysis.

Outside of work I read — mostly about how humans make decisions and why the world is more uncertain than we think. I also teach, lift weights, and play indie games.

M.Sc. Data Science · PUCE Ecuador Economist · UCV Venezuela
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Skills

Econometrics & Research
Regression & Panel Data Survey Design Statistical Inference Applied Mathematics Econometric Modeling Labor Market Analysis
Programming
Python SQL R PySpark pandas NumPy scikit-learn TensorFlow ggplot2 dplyr
BI & Visualization
Power BI Tableau Looker Studio DAX Power Query
Big Data & Field Research
BigQuery GCP Hadoop KoboToolbox ODK Fastfield Git
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Projects

A curated selection of quantitative & data science work

Survey
ETL
Crosstabs
Dashboard
Featured Project

Health Microinsurance Survey Pipeline

ETL pipeline automating a field survey on health microinsurance impact among vulnerable populations — from Google Forms ingestion to bivariate analysis and an interactive Looker Studio dashboard.

Python Looker Studio Health Economics ETL Survey Analysis Google Sheets
COVID-19 Cluster Analysis

COVID-19 Cluster Analysis

Applied unsupervised machine learning to group countries by COVID-19 outcomes — revealing geopolitical and socioeconomic patterns in pandemic response.

R Shiny Unsupervised ML
Sentiment Analysis CEO Viewpoints

Sentiment Analysis — CEO Viewpoints

NLP-driven analysis of 5+ years of corporate communications using VADER lexicon to quantify sentiment trends.

Python NLTK NLP
Top 100 Companies Venezuela

Top 100 Companies Venezuela

Econometric corporate ranking across 6 consecutive editions (2017–2022), published in Business Venezuela Magazine.

Tableau Econometrics Power BI
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Experience

Quantitative Consultant | Economist | Data Analyst

Aug 2024 – Present

Strattos.io — Quito, Ecuador

  • Builds automated ETL pipelines and econometric models in Python + BigQuery for social development surveys across Latin America.
  • Delivers interactive Power BI and Looker Studio dashboards for field data monitoring and stakeholder reporting.
Python BigQuery Power BI KoboToolbox Econometrics

Part-time Professor

Oct 2025 – Present

Universidad Israel — Quito, Ecuador

  • Teaches Strategic Economics and Administration & Marketing with a quantitative, case-based approach.
Applied Economics Quantitative Methods

B2B Data Analyst

Aug 2023 – Jul 2024

Infracommerce Latam — Quito, Ecuador

  • Analyzed large-scale sales and marketing KPIs to support commercial strategy for a multinational food company's B2B e-commerce platform.
SQL Power BI E-Commerce Analytics

Senior Economist

Aug 2016 – Dec 2022

Cámara Venezolano-Americana de Comercio e Industria (VenAmCham)

  • Co-authored the Top 100 Companies ranking across 6 editions (2017–2022) — an econometric corporate index published in Business Venezuela Magazine.
  • Produced 20+ economic research articles and interactive Tableau/Power BI dashboards for C-level and institutional audiences.
Tableau Power BI Econometrics R Research
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Let's Work Together

Open to research collaborations, consulting projects, and conversations about impactful work in quantitative analysis and applied econometrics.

Email caizaga.115@gmail.com
LinkedIn linkedin.com/in/caizaga
Location Quito, Ecuador