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
01

About Me

Carlos Aizaga

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 Data Economist at Strattos, 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.

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Years Experience

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Featured Projects

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Graduate Degrees

02

Skills

Econometrics & Quant Methods

Regression & Panel Data85%
Survey Design80%
Statistical Inference80%
Applied Mathematics75%

Programming

Python85%
SQL80%
R70%
PySpark60%

BI & Visualization

Power BI80%
Tableau75%
Looker Studio70%

Big Data & Field Research

KoboToolbox / ODK80%
BigQuery / GCP75%
Hadoop / PySpark60%
scikit-learn TensorFlow pandas NumPy ggplot2 dplyr DAX Power Query Git KoboToolbox ODK Fastfield
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Experience

Data Economist / Associate Consultant

Aug 2024 – Present

Strattos · Antroproyectos Latinoamérica — Quito, Ecuador

  • Designs automated ETL routines and quality control protocols in BigQuery for development surveys and censuses across Latin America, integrating GPS validation and quota monitoring.
  • Builds econometric and predictive models in Python (pandas, scikit-learn) to support evidence-based decision-making in social development projects.
  • Develops interactive BI dashboards in Power BI and Looker Studio for field data monitoring, reporting, and stakeholder communication.
Python BigQuery Power BI KoboToolbox Econometrics

Part-time Professor

Oct 2025 – Present

Universidad Israel — Quito, Ecuador

  • Teaches Strategic Economics and Administration & Marketing, integrating quantitative tools and case-based applied learning.
Applied Economics Quantitative Methods

B2B Data Analyst

Aug 2023 – Jul 2024

Infracommerce Latam — Quito, Ecuador

  • Managed data quality within a B2B e-commerce platform (VTEX) for a multinational food company.
  • Analyzed large-scale sales and marketing KPIs, supporting commercial strategy and customer service decisions.
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 research across 6 consecutive editions (2017–2022), applying econometric ranking methodologies to revenue, employment, investment, and social impact data — published annually in Business Venezuela Magazine.
  • Designed interactive Tableau and Power BI dashboards to communicate complex economic findings to C-level stakeholders and the business community.
  • Authored 20+ articles on economic and technology topics; conducted statistical analysis, survey design, and stakeholder-facing presentations for institutional research projects.
Tableau Power BI Econometrics R Research
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Education

Master's Degree

M.Sc. Information Systems — Data Science

Pontificia Universidad Católica del Ecuador

April 2024

Applied Statistics Python / R SQL & Databases PySpark / Hadoop
Bachelor's Degree

Economist Degree

Universidad Central de Venezuela

April 2015

Econometrics Applied Statistics Advanced Mathematics Micro / Macro
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Projects

A curated selection of quantitative & data science work

COVID-19 Cluster Analysis
View Live  

COVID-19 Cluster Analysis

Applied unsupervised machine learning (k-means clustering) to group countries by COVID-19 outcomes — deaths, cases, and vaccination rates — revealing geopolitical and socioeconomic patterns in pandemic response.

R Shiny Unsupervised ML Public Health Data
View Project
Sentiment Analysis CEO Viewpoints
View Code  

Sentiment Analysis — CEO Viewpoints

NLP-driven analysis of 5+ years of corporate communications from a CEO. Used VADER lexicon (NLTK) to quantify positive, negative, and neutral sentiment trends over time, generating word clouds and longitudinal visualizations.

Python NLTK NLP Text Analytics
View Project
Top 100 Companies Venezuela
View Dashboard  

Top 100 Companies Venezuela

Annual econometric corporate ranking published across 6 consecutive editions (2017–2022) in Business Venezuela Magazine. Ranking methodology based on revenue, employment, investment, and social impact — visualized in an interactive Tableau dashboard.

Tableau Econometrics Power BI Corporate Finance
View Project
In Development

Econometric Pipeline Project

End-to-end data pipeline for socioeconomic survey collection, automated ETL cleaning, econometric modeling, and interactive BI visualization. Built with Python, BigQuery, and Power BI.

Python BigQuery ETL Econometrics
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Let's Work Together

Available for consulting projects, research collaborations, and full-time roles in quantitative analysis, applied econometrics, and data science.

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