• 🔭 I’m currently working on Bone Fracture Detection using CNN

• 🌱 I’m currently learning PyTorch and DeepLearning Algorithms

• 👨‍💻 All of my projects are available at github.com/phoenix-mp3

• 💬 Ask me about Python, DS Tools, Blockchain, C++ & ML

• 📫 How to reach me [email protected]

• ⚡ Fun fact Funniest person you ever witnessed 😁

• Description: Developed a HIPAA-compliant serverless application on the Ethereum blockchain.
• Technologies Used: Python, Solidity, Ethereum, Blockchain.
• Key Contributions:
  • Designed and implemented algorithms to optimize gas usage, enhancing data security and privacy in healthcare management.
  • Reduced transaction costs by 25% through efficient data handling and processing.

• Description: Developed a user-friendly Streamlit application to store and manage YouTube data.
• Technologies Used: Python, MongoDB, Streamlit.
• Key Contributions:
  • Created data ingestion pipelines to improve data retrieval efficiency by 30%.
  • Developed machine learning models to analyze user data and generate insights.

• Description: Integrated various APIs with the Meta LLaMA3 to control screen brightness and volume using hand gestures recognized by OpenCV and TensorFlow.
• Technologies Used: Python, OpenCV, TensorFlow.
• Key Contributions:
  • Improved user interaction by leveraging AI models to enhance the virtual assistant’s functionality.
  • Designed and implemented machine learning algorithms to accurately recognize and respond to hand gestures.

• Description: Developed a responsive website for the Pace Sports Foundation to enhance their online presence.
• Technologies Used: Python, WordPress, Bootstrap, CSS.
• Key Contributions:
  • Integrated AI models to streamline the management of athletic records.
  • Enhanced user experience by implementing interactive features using Python and JavaScript.

• Role: Applied machine learning techniques to solve practical business problems.
• Technologies Used: Python, Scikit-Learn, Pandas, NumPy.
• Key Contributions:
  • Developed predictive models using linear regression, decision trees, and clustering algorithms.
  • Conducted data analysis and preprocessing to extract valuable insights from large datasets.

• Programming: Proficient in Python, Java, C/C++, JavaScript, HTML/CSS, SQL, Solidity.
• Tools & Technologies: AWS, LangChain, PowerBI, Git, SAS, Ethereum, Remix, React, Tableau.
• Certifications: IBM Data Science Professional Certificate, Google Data Analytics Professional Certificate.

These projects demonstrate my ability to design, develop, and implement AI models and data solutions using Python, addressing complex problems and driving innovation.