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Trevin07/README.md

👋 Hello, I'm Trevin Rodrigo

📍 Colombo, Sri Lanka 🇱🇰
🎓 Undergraduate in Industrial Statistics & Mathematical Finance
📊 Data Science Advocate | Love all things Data 📈

🌐 Visit My Website → trevin-rodrigo-eco8.vercel.app

📫 Let's Connect!

🔗 Connect with me on LinkedIn → Trevin Rodrigo

📧 Email: [email protected]

🧠 Tech Stack & Skills

🛠️ Programming Languages

Python JavaScript R SQL HTML5 CSS3

📚 Data Science & ML Libraries

Pandas NumPy Matplotlib Scikit-learn TensorFlow Keras XGBoost Seaborn Hugging Face Plotly FastAPI

🌐 Web Development & Frameworks

Flask PHP Bootstrap

🔧 Dev Tools & Platforms

Git GitHub Jupyter VS Code

☁️ Cloud, Analytics & Deployment

Azure Heroku Google Cloud Tableau

🚀 Projects & Applications

✍🏽 Insurance Cost Estimator

GitHub Repository
A lightweight Flask web app that predicts annual medical insurance charges based on user input like age, BMI, smoking status, and number of children.
🧠 Model Used: XGBoost
📊 Dataset: Medical Cost Personal Dataset (Kaggle)
🛠️ Tech Stack: Python, Flask, HTML/CSS, XGBoost, scikit-learn, Pandas, NumPy

🏥 Hospital Readmission Predictor

GitHub Repository
Predicts likelihood of hospital readmission within 30 days based on patient data.
🧠 Model Used: Random Forest
🛠️ Tech Stack: Python, Flask, HTML/CSS, scikit-learn, Pandas, NumPy

🧾 Cost of Living Estimator

GitHub Repository
Predicts annual cost of living based on city, household, and childcare factors.
🧠 Model Used: Multiple Linear Regression
📊 Dataset: Public lifestyle/economic data
🛠️ Tech Stack: Python, Streamlit, pandas, seaborn

💡 Global Energy Analysis

GitHub Repository
Dashboard to explore global energy trends, emissions, and renewable investments.
🧠 Model Used: Time Series (ARIMA)
📊 Data Source: IEA, UN Comtrade, Our World in Data
🛠️ Tech Stack: Python, Tableau, Jupyter

🔍 Income Classifier Web App

GitHub Repository
Predicts income level using census and education/work data.
🧠 Models Used: Logistic Regression, SVM, Neural Network
📊 Dataset: Adult Census (UCI)
🛠️ Tech Stack: Python, Flask, scikit-learn, TensorFlow

🏠 House Price Prediction

GitHub Repository
Estimates Bengaluru property prices using regression.
🧠 Model Used: Polynomial Regression
📊 Dataset: Kaggle
🛠️ Tech Stack: Python, pandas, seaborn

🧠 Current Focus Areas

  • Deep Learning & Optimization: CNNs, RNNs, transformers, Adam optimizer
  • Scalable ML Pipelines: joblib, MLflow, reproducible training
  • Cloud Deployment: Azure ML, GCP AI Platform, Heroku
  • End-to-End ML Lifecycle: From data cleaning to model interpretability (SHAP, LIME)

“Data Science: The art of turning data into insights, and the next best thing to a crystal ball!” 😄

Pinned Loading

  1. House-price-prediction House-price-prediction Public

    A Flask app that predicts house prices using a pre-trained ML model

    Jupyter Notebook

  2. Income-Prediction Income-Prediction Public

    This project predicts the monthly salary of individuals based on various attributes such as age, education level, work class, country, and sector. The model outputs a predicted salary value based …

    Jupyter Notebook

  3. global-energy-transition global-energy-transition Public

    This project explores the global transition from fossil fuels to renewable energy and its impact on CO₂ emissions across decades (1960–2023). It was awarded first runner-up in a data visualization …

    Jupyter Notebook

  4. Cost_estimator Cost_estimator Public

    This web application helps estimate the annual cost of living based on inputs like state, metro area, number of parents, children, and whether childcare is needed. Users can compare estimated costs…

    Jupyter Notebook

  5. hospital-readmission-app hospital-readmission-app Public

    A Flask web app that predicts hospital readmission risk using a trained Random Forest model

    Jupyter Notebook

  6. insurance_estimator insurance_estimator Public

    A Flask-based machine learning web application that predicts health insurance charges based on user inputs like age, sex, BMI, number of children, and smoking status.

    Python 1