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pabloawills/README.md

👋 Hi, I’m Pablo Wills

I am a Data Analyst driven by the simple idea that better decisions come from clearer insights.
My work blends machine learning, predictive modeling, and analytical storytelling to uncover patterns, challenge assumptions, and solve real operational challenges.

I’m not here to just build models I’m here to build understanding.

⭐ What I Bring to the Table

With a strong foundation in analytics and an instinct for practical problem-solving, I focus on creating solutions that are:

  • Accurate — grounded in solid statistical reasoning
  • Interpretable — models and visuals anyone can understand
  • Relevant — aligned with real business needs and outcomes
  • Reusable — clean, organized, and reproducible work

My approach is shaped by a belief learned early:
Data is only valuable when someone can act on it.

🔧 Technical Toolkit

I work with the tools that turn raw information into clarity:

Python • Pandas • NumPy • Scikit-Learn • SQL • Power BI • Matplotlib • Seaborn
Predictive Modeling • EDA • Feature Engineering • Statistical Analysis

But more importantly: I know how to choose the right tool for the problem.

📘 Projects That Reflect My Thinking

Every project in this portfolio was built with intention — not just to model data, but to understand it, challenge it, and communicate it.

  • Medical Appointment No-Show Prediction
    Predictive modeling to reduce operational friction and improve patient flow.

  • U.S. Rent Price Prediction Model
    Economic, geographic, and behavioral factors translated into actionable pricing insights.

  • Brand Positioning Analysis
    Using data to reveal perception gaps and strategic opportunities.

More projects are added as I explore new questions and refine my craft.

🧠 How I Approach Analytics

Great analytics is more than code; it’s a mindset.

  • Curiosity — Why does this happen? What drives this behavior?
  • Structure — Break the complex into steps that make sense.
  • Communication — Insights must be understood to matter.
  • Impact — Data should make someone’s work easier, smarter, or faster.

I aim to operate where logic meets creativity — where patterns become narratives.

🚀 Currently Exploring

To stay ahead in a field that never stands still, I’m deepening my knowledge in:

  • Model interpretability and real-time deployment
  • Forecasting models for dynamic environments
  • Advanced visualization techniques for clearer storytelling

🤝 Let’s Connect

If you’re interested in analytics, machine learning, decision science, or simply enjoy talking through big ideas, I’m always open to a conversation.

📫 LinkedIn: https://www.linkedin.com/in/pablo-wills-175822227/

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  1. medical-appointment-no-show-prediction medical-appointment-no-show-prediction Public

    Machine Learning project analyzing 110K+ medical appointments to predict no-shows using EDA, feature engineering, Random Forest, XGBoost, and operational insights.

  2. Brand-Positioning-Analytics-for-Nutrine-and-MahaLacto Brand-Positioning-Analytics-for-Nutrine-and-MahaLacto Public

    This project analyzes the brand positioning of Nutrine and MahaLacto within the Indian confectionery market (mints and gums). Using perceptual mapping, dendrogram-based segmentation, and attribute …

  3. Machine-Learning-For-Rent-Prediction Machine-Learning-For-Rent-Prediction Public

    Machine learning model predicting U.S. rental prices using EDA, feature engineering, and Random Forest analysis to identify key economic and geographic drivers of rent.