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Sashikiranmaddineni7/README.md

Hi, I'm Sashi Kiran Maddineni 👋

Welcome to my GitHub profile! I'm a passionate Data Scientist and Machine Learning Engineer with a strong foundation in building predictive models, deploying algorithms, and crafting interactive visualizations. My projects focus on solving complex problems using data-driven insights and cutting-edge technologies.

🌟 About Me

  • 🎓 A Master’s Degree in Data Science at the University of North Texas.
  • 💻 Former AI Intern specializing in Large Language Models (LLMs) and Machine Learning frameworks.
  • 🛠️ Skilled in Python, SQL, MATLAB, and cloud technologies like AWS and Azure.
  • 🌐 Experienced in developing retrieval-augmented generation (RAG) frameworks and configuring vector databases.
  • 📊 Enthusiastic about data visualization, having built interactive dashboards using Tableau.

🚀 Projects

Here are a few highlights from my work:

  • Cryptocurrency Price Prediction: Leveraging inequality measures like the Gini Index for enhanced prediction accuracy with machine learning.
  • Pandemic Data Visualization: Created dashboards showcasing COVID-19 trends, testing efforts, and health outcomes.
  • AI SQL Agent: Developed an intelligent AI-powered database query agent using LangChain, SQLite, and ReAct prompting.

🛠️ Tech Stack

  • Programming Languages:

c cplusplus java javascript python scala

- **Programming Languages**:

tensorflow pytorch scikit_learn opencv pandas seaborn

-**Data Visualization**:

django flask react css3 html5

-**Cloud Platforms**:

aws azure gcp

-**Databases**:

sqlite postgresql mysql mongodb

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📫 Let's Connect!

I’m always excited to collaborate on interesting projects and explore innovative ideas. Feel free to reach out or check out my repositories for more insights into my work. Let’s make data do the talking! 🚀

Popular repositories Loading

  1. Perceptron-Model-Implementation-in-Deep-Learning- Perceptron-Model-Implementation-in-Deep-Learning- Public

    Jupyter Notebook

  2. object-detection-and-segmentation-using-deep-learning-method object-detection-and-segmentation-using-deep-learning-method Public

    Jupyter Notebook

  3. Bank-Customer-churn-prediction- Bank-Customer-churn-prediction- Public

    Jupyter Notebook

  4. Linear_Regression_-Simple-Multiple-Polynomial- Linear_Regression_-Simple-Multiple-Polynomial- Public

    Jupyter Notebook

  5. Building-Neural-Networks-using-Scikit_learn-Tensorflow-for-stock-prediction Building-Neural-Networks-using-Scikit_learn-Tensorflow-for-stock-prediction Public

    Jupyter Notebook

  6. Artificial-Neural-Network-implementation-using-one-Hot-Encoding-to-predict-account-closure-in-bank Artificial-Neural-Network-implementation-using-one-Hot-Encoding-to-predict-account-closure-in-bank Public

    Jupyter Notebook