Jordy Alfaro Brenes

Data Scientist & Mathematics Educator

Transforming complex data into actionable insights through statistical modeling, machine learning, and data visualization

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About Me

Jordy Alfaro
I'm a Data Scientist with a strong mathematical foundation and expertise in statistical modeling, machine learning, and data visualization. My background in mathematics allows me to approach complex problems with precision and strategic thinking.
With a proven ability to extract insights from complex datasets using Python, R, SQL, and Power BI, I focus on transforming raw data into actionable intelligence that drives business and educational innovation. I apply techniques in statistical analysis, data visualization, and predictive modeling to extract maximum value from both structured and unstructured data.
Beyond my technical skills, I'm also passionate about mathematics education, currently serving as a university professor teaching statistics and numerical analysis. This dual expertise allows me to bridge the gap between advanced analytical concepts and practical applications.
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Featured Projects

Bank Customer Segmentation

Bank Customer Segmentation

Advanced clustering analysis identified 6 customer segments with subscription rates varying from 2.2% to 48.6%. Applied K-means, GMM, PCA for optimized marketing strategies.

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Financial Sentiment Analysis

Financial Sentiment Analysis

Analyzed financial texts using NLP to classify sentiment as positive, negative, or neutral, achieving 69.3% accuracy with Logistic Regression for improved investment decision-making.

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Bank Customer Churn Prediction

Bank Customer Churn Prediction

Developed predictive models (AUC: 0.866) using XGBoost, Random Forest, and GBM to identify customers at risk of churning, with segment-specific retention strategies targeting 25-30% churn reduction.

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Customer Classification

Credit Risk Classification

Developed machine learning models to predict loan defaults with 93.3% accuracy using Random Forest, Neural Networks, and Naive Bayes. Identified optimal approval threshold for $1.5M profitability improvement.

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Technical Skills

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Python

Data analysis with pandas, NumPy, scikit-learn for machine learning, and data visualization with matplotlib and seaborn.

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R Programming

Statistical analysis, data manipulation with dplyr, visualization with ggplot2, and development of data-driven applications.

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SQL & Databases

Working with PostgreSQL, MySQL for data extraction, transformation, advanced querying and database management.

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Machine Learning

Supervised & unsupervised learning, feature engineering, and deep learning models for predictive analytics.

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Data Visualization

Creating compelling visualizations with Power BI, Tableau, matplotlib, seaborn to communicate insights effectively.

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Statistical Analysis

Advanced statistics, exploratory data analysis (EDA), and predictive modeling for data-driven decision making.

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MATLAB

Mathematical modeling, numerical analysis, and algorithm development for complex computational problems.

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Big Data

Working with Google Colab, Hadoop, and Apache Spark for processing and analyzing large-scale datasets.

Professional Experience

Freelance Data Science Consultant

Remote | 2023 - Present

Providing data science consulting services for clients in education, marketing, and business sectors. Developing machine learning models for applications such as customer segmentation, churn prediction, and sentiment analysis.

Mathematics & Statistics Professor

Universidad Latinoamericana de Ciencia y Tecnología (ULACIT) | 2023 - Present

Teaching descriptive and inferential statistics, numerical analysis with applications in R, Python, and MATLAB. Developing applied projects in business statistics and implementing data science tools in the teaching process.

Mathematics Teacher

Centro Educativo Cristiano Reformado | 2023

Taught mathematics to high school students from 7th to 11th grade. Developed technology-based teaching strategies for mathematics education.

Secondary School Mathematics Teacher

EMVA High School | 2022

Taught 7th and 8th grade mathematics, applying innovative teaching methods for complex mathematical concepts.

Education & Certifications

Academic Education

Master's in Mathematical Methods and Applications
Universidad de Costa Rica | 2023 - Present

Advanced study in mathematical methods and their applications in data science and computational fields.

Bachelor's in Mathematics Education with Technological Environments
Tecnológico de Costa Rica | 2018 - 2023

Specialized in mathematics education with emphasis on technology integration and application.

Professional Development

Big Data
Universidad Fidélitas | 2024 - In Progress
Artificial Intelligence & Data Analysis for Business
ULACIT | 2025 - In Progress
Professional Certification in Digital Marketing & Social Media
Universidad Politécnica de Valencia | 2023
Conversational English
Universidad de Costa Rica | B2 Level

Get In Touch

Tibás, Costa Rica
jordyab00@gmail.com
+506 8436-8480

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