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Kavi274/README.md

Hi, I'm Kaviya!

AI Engineer Intern 🤖
BSc (Hons) Artificial Intelligence & Data Science Undergraduate 🎓

LinkedIn: Kaviya GitHub Kaviya

A little more about me...

const kaviya = {
  role: "AI Engineer Intern",
  education: "BSc (Hons) Artificial Intelligence & Data Science",
  code: [Python, SQL, Java, JavaScript],
  tools: [Scikit-learn, Pandas, NumPy, FastAPI, Git, Docker],
  interests: ["Machine Learning", "Generative AI", "AI Agents", "MLOps"],
  cloud: ["Azure AI Foundry"],
  currentlyWorkingOn: "Building AI-powered applications and Text-to-SQL systems",
  funFact: "I train machines to learn while I'm still learning myself"
}

I love connecting with different people :)

Connect with me:

Kavi274

🌐 Socials

📊 GitHub Analytics

github contribution snake

🧰 Tech Stack

Languages and Tools:

anaconda azure c canvasjs css3 fastapi figma git graphql html5 huggingface java javascript jupyter kafka keras langchain matlab matplotlib mongodb mysql nodejs numpy ollama pandas photoshop php postgresql python pytorch scikit_learn seaborn streamlit tailwind tensorflow

Languages

AI & LLM Engineering

Machine Learning & Data

Data Engineering & Cloud

📈 Contribution Activity

Kaviya's GitHub Statistics

Most Used Languages

📈 Turning data into decisions

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  1. credit-card-fraud-detection-ml credit-card-fraud-detection-ml Public

    Machine Learning project for detecting fraudulent credit card transactions using classification algorithms.

    Jupyter Notebook 2

  2. resume-screening-ai resume-screening-ai Public

    An NLP + Random Forest pipeline that automatically screens resumes and ranks the top matching job categories, built with Scikit-learn and Streamlit.

    Python 2

  3. retail-sales-analytics retail-sales-analytics Public

    End-to-end retail sales analytics using SQL and Power BI — KPI dashboards, regional/category trends, and top customer insights from the Superstore dataset.

    2

  4. TeamMate_University_Gaming_Club TeamMate_University_Gaming_Club Public

    Java CLI app for forming balanced esports teams from participant skill, role, and personality data, with constraint-based matching and JUnit tests.

    Java 2

  5. telco-churn-coursework telco-churn-coursework Public

    ML coursework applying classification techniques (EDA, feature engineering, model evaluation) to predict telecom customer churn.

    Jupyter Notebook 2

  6. telecom-ai-assistant telecom-ai-assistant Public

    AI-powered telecom analytics dashboard with ML and Llama 3

    Python 2