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ReginaPema/README.md
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Hi, I'm Regina Castillo

Data Analyst | Data Scientist Jr


About me / Sobre mí

EN · Data Analyst with experience in operations analytics, digital fraud detection, and data-driven decision making in multicultural environments. Background spanning business operations, environmental engineering, and healthcare, bringing an interdisciplinary approach to analytical problem-solving. Interested in pattern recognition, business intelligence, and transforming complex data into actionable insights.

ES · Analista de Datos con experiencia en análisis operativo, detección de fraude digital y toma de decisiones basada en datos en entornos multiculturales. Perfil interdisciplinario con experiencia en operaciones, ingeniería ambiental y salud, enfocado en resolver problemas mediante análisis y reconocimiento de patrones. Interesada en business intelligence y en transformar datos complejos en insights accionables.


Featured Projects / Proyectos Destacados

Project Description Tools
SQL: Acupuncture Clinic DB Relational DB modeling a TCM clinic · Base de datos relacional de clínica MTC Python · SQLite · Pandas
K-Means: Vanish Segmentation Sales segmentation and cluster analysis using K-Means · Segmentación de ventas y análisis de clústeres mediante K-Means Python · Scikit-learn · PCA
EDA: Retail Sales Analysis Exploratory analysis of retail sales performance, trends and outliers · Análisis exploratorio del rendimiento, tendencias y valores atípicos de ventas Python · Matplotlib · Seaborn
ETL: Sales Data Cleaning ETL pipeline for multi-source sales data cleaning and transformation · Canalización ETL para la limpieza y transformación de datos de ventas de múltiples fuentes Python · Pandas · NumPy

Tech Stack

Working with / Usando:

Python Pandas Scikit-learn SQLite SQL Server SQL NumPy Matplotlib Seaborn Jupyter VS Code Git Orange

Learning next / Aprendiendo:

Power BI


Areas of Focus / Áreas de Enfoque

Business Analytics      → operations, KPIs & decision-making
Fraud & Risk Analytics  → anomaly detection & behavioral patterns
Data Visualization      → analytical storytelling & business insights
Machine Learning        → clustering, segmentation & predictive modeling
Sustainability          → environmental engineering background

A little more about me...

regina = {
    "name"       : "María Regina Castillo Treviño",
    "alias"      : "Pema · པ་དྨེ། · Lotus",
    "role"       : "Data Analyst & Data Scientist Jr"
    "background" : ["Healthcare", "Environmental Science", "Fraud Analytics"],
    "languages"  : ["Spanish (native)", "English (C2)", "French (basic)", "Tibetan (reading)"],
    "strengths"  : ["Interdisciplinary thinking", "Pattern recognition", "Attention to detail"],
    "weaknesses" : ["Taking on too many interests at once", "Perfectionism"],
    "interests"  : ["Acupuncture", "Yoga & Meditation", "Crochet", "Cats"],
}

GitHub Stats

GitHub Streak

ReginaPema's GitHub Stats

"I read patterns in data the same way I read them in the body and mind."

Visitor Count

Popular repositories Loading

  1. ReginaPema ReginaPema Public

    Hi! I'm Regina Castillo. Data Scientist in training | Healthtech & Sustainability

  2. eda-retail-sales-analysis eda-retail-sales-analysis Public

    Exploratory Data Analysis of retail sales data, uncovering trends, patterns, and outliers through statistical visualization.

    Jupyter Notebook

  3. data-science-notes data-science-notes Public

    Personal Data Science reference notes · Notas de referencia personal en Ciencia de Datos

  4. kmeans-vanish-segmentation kmeans-vanish-segmentation Public

    Unsupervised Machine Learning project applying K-Means clustering to identify key market segments for the Vanish brand within a retail cleaning products dataset. Four distinct segments were identif…

    Jupyter Notebook

  5. sql-acupuncture-clinic sql-acupuncture-clinic Public

    Relational database project modeling a Traditional Chinese Medicine clinic's electronic health records system, built with Python and SQLite. Five interconnected tables capture patient records, TCM …

    Jupyter Notebook