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Rawlingsofficial/README.md
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Rawlings

Data Scientist · Full-Stack Developer


Building production-grade web apps and ML pipelines. Clean TypeScript. Intentional design. Data that drives decisions.


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👋 About Me

const rawlings = {
  role   : "Data Scientist & Full-Stack Developer",
  stack  : ["Next.js", "TypeScript", "Python", "Supabase"],
  focus  : ["full-stack apps", "ML pipelines", "data viz"],
  based  : "building in public 🌍",
  motto  : "Distraction is the death of creative production."
}

I work at the intersection of data science and full-stack engineering — building apps that don't just look good but reason about data. Whether it's a type-safe API, a model deployment, or a dashboard that actually tells a story, I care about the whole pipeline from database to UI.

⚡ Tech Stack

🌐 Full-Stack — Next.js Ecosystem

Next.js TypeScript Tailwind CSS shadcn/ui tRPC Prisma Drizzle NextAuth Zustand Supabase PostgreSQL Vercel

🤖 Data Science & ML

Python R Pandas NumPy Scikit-learn XGBoost LightGBM TensorFlow PyTorch MLflow W&B

📊 Data & Visualization

Plotly Matplotlib Seaborn Tableau Power BI Looker MySQL MongoDB

☁️ Backend, APIs & Cloud

FastAPI Flask Streamlit AWS GCP GitHub

📊 GitHub Stats

 





🤝 Connect

GitHub LinkedIn Medium


"An addiction to distraction is the death of creative production."

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  1. Data-Science-on-Qwasar-platform Data-Science-on-Qwasar-platform Public

    This repository serves as a comprehensive showcase of my skills and expertise in data science, encompassing various projects and exercises completed throughout the bootcamp.

    Jupyter Notebook 1

  2. my_allocine my_allocine Public

    My Allocine" is a SQL project demonstrating data management and analysis with relational databases. It showcases SQL operations like modifying structures, updating rows, and retrieving data.

    Ruby 1

  3. BEE-CRM BEE-CRM Public

    Developed a comprehensive CRM system for Bee Mobility to streamline customer service operations, manage real-time interactions, and maintain an up-to-date knowledge base, resulting in improved team…

    Python

  4. My-Paypal My-Paypal Public

    This project implements a fraud detection system using machine learning techniques. The system is designed to detect fraudulent transactions in credit card data.

    Jupyter Notebook

  5. my_ds_babel my_ds_babel Public

    The task is to create two functions that can translate data between SQL and CSV formats

    Python

  6. Visa-For-Lisa Visa-For-Lisa Public

    This project showcases an end-to-end machine learning pipeline for predicting customer acceptance of personal loan offers.

    Jupyter Notebook