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laipching/README.md

👋 Hola, soy Lai Yi Peña Ching

🌟 Future Data Analyst | SQL & Python | Chemical Engineer | Pharma Validation & Project Management

Soy Ingeniera Química con experiencia en la industria farmacéutica, validaciones y gestión de proyectos.
Actualmente estoy en transición hacia Data Analytics, cursando el Bootcamp de TripleTen y desarrollando proyectos con Python, SQL, visualización de datos y análisis estadístico.

🚀 Habilidades / Skills

  • Languages / Lenguajes: SQL, Python, MATLAB
  • Tools / Herramientas: Pandas, NumPy, Matplotlib, Seaborn
  • Industry / Industria: Pharma validation, Project Management
  • Soft Skills / Habilidades blandas: Effective communication, problem solving

📂 Proyectos Destacados / Featured Projects

(En construcción, pronto estarán disponibles aquí con links a los repositorios)

📂 Featured Projects

  • Sprint 10 – A/B Testing & Hypothesis Testing
    EN: Analyze conversion rates, test significance, and recommend business decisions.
    ES: Análisis de tasas de conversión, pruebas de significancia y recomendaciones de negocio.

  • Sprint 9 – Business Analysis
    EN: Cohort, funnel, and unit economics analysis (LTV, CAC, ROMI).
    ES: Análisis de cohortes, embudos y métricas de economía unitaria (LTV, CAC, ROMI).

  • Sprint 8 – SQL Data Storage
    EN: SQL queries with joins, aggregations, and window functions.
    ES: Consultas SQL con joins, agregaciones y funciones de ventana.

  • Sprint 7 – Streamlit Vehicles App
    EN: Interactive web app with Streamlit for vehicle listings EDA and visualizations.
    ES: Aplicación web interactiva con Streamlit para EDA y visualizaciones de anuncios de vehículos.

  • Sprint 6 – Module 1 Project
    EN: Exploratory data analysis with Pandas, Seaborn, and Matplotlib.
    ES: Análisis exploratorio de datos con Pandas, Seaborn y Matplotlib.

🌐 Encuéntrame / Find me

⭐️ Este perfil está en constante actualización conforme avanzo en mi carrera en Data Analytics.

Pinned Loading

  1. sprint10_ab_testing sprint10_ab_testing Public

    A/B testing and hypothesis testing: conversion comparison, statistical significance and recommendations.

    Jupyter Notebook

  2. sprint9_business_analysis sprint9_business_analysis Public

    Business metrics (LTV, CAC, ROMI), cohort/funnel analysis and insights for decision-making.

    Jupyter Notebook

  3. sprint8_sql_data_storage sprint8_sql_data_storage Public

    SQL queries and data storage: joins, aggregations and window functions to answer business questions.

    Jupyter Notebook

  4. sprint7_streamlit_vehicles sprint7_streamlit_vehicles Public

    Interactive Streamlit app to explore vehicle listings data in the US. Includes EDA, visualizations and web deployment.

    Python

  5. sprint6_module1 sprint6_module1 Public

    Exploratory Data Analysis with Python (Pandas/Matplotlib/Seaborn). Business questions, metrics and clear visualizations.

    Jupyter Notebook