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vinodbavage31/README.md
Vinod Bavage

Data Science | Python Development | Web Development

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About Me

class Developer:
    def __init__(self):
        self.name = "Vinod Bavage"
        self.role = ["Data Scientist", "Python Developer", "Web Developer"]
        self.location = "Chennai, Tamil Nadu, IN"
        self.tech_stack = {
            "data_science": ["Machine Learning", "Deep Learning", "EDA"],
            "web_dev": ["React", "TypeScript", "Tailwind CSS"],
            "backend": ["Python", "SQL", "MongoDB"]
        }
        self.projects_built = "10+ websites"
        
    def current_focus(self):
        return ["Advanced ML", "Model Deployment", "Full-Stack Development"]

dev = Developer()
print(f"Building: {dev.projects_built} and counting...")

Working on personal and real-world data science projects
Learning advanced ML, model deployment, and scalable pipelines
Building modern web applications with React and TypeScript
Open to Data Scientist, ML Engineer, and Python Developer roles


Tech Stack





GitHub Analytics

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Top Languages Coding Activity

Contribution Graph

Productive Time Most Used Languages

Profile Details


What I Do

Machine Learning

  • End-to-end ML pipelines
  • Model training & evaluation
  • Feature engineering
  • Hyperparameter tuning
  • Model deployment

Data Analysis

  • Exploratory Data Analysis
  • Data visualization
  • Statistical analysis
  • Data preprocessing
  • Insight generation

Web Development

  • React applications
  • TypeScript development
  • Responsive UI/UX
  • Modern CSS frameworks
  • Full-stack projects

Deep Learning

  • Neural networks
  • CNN, RNN, Transformers
  • Transfer learning
  • Model optimization
  • Computer vision & NLP

Python Development

  • Automation scripts
  • Data pipelines
  • API development
  • Backend services
  • Tool building

DevOps & Tools

  • Docker containerization
  • Cloud deployment
  • CI/CD pipelines
  • Version control
  • Linux administration

Featured Work

Featured Work


Let's Connect

Connect

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⭐ If you find my work interesting, consider starring my repositories!


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  1. ITSM-dataset-ML ITSM-dataset-ML Public

    End-to-end ML pipeline built on a 45K-record ITSM dataset to automate incident triage, predict high-priority tickets (96% Acc.), and forecast incident volume for proactive resource planning.

    Jupyter Notebook 7

  2. bike-rental bike-rental Public

    Predictive model for daily bike rental demand. Utilizes EDA and a Tuned Gradient Boosting Regressor ( R 2 ≈ 0.91 R 2 ≈0.91 ) to forecast demand based on seasonal and weather factors, aiding fleet o…

    Jupyter Notebook 6

  3. House-price-pred House-price-pred Public

    House Price Prediction using Python ML stack. Includes EDA, modeling, hyperparameter tuning, and feature importance for buyer insights.

    Jupyter Notebook 6

  4. PUBG-GameWinnerPred PUBG-GameWinnerPred Public

    A data science project analyzing a massive competitive game dataset of 4.4M+ records from PUBG to predict winners, utilizing feature engineering and robust data challenge resolution.

    Jupyter Notebook 6

  5. RiceLeaf-disease-detection RiceLeaf-disease-detection Public

    A Deep Learning project using Transfer Learning (EfficientNet) and Data Augmentation to classify three major rice leaf diseases (Bacterial Blight, Brown Spot, Leaf Smut). Provides a robust, high-a…

    Jupyter Notebook 5 1