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MadasuLaxman/README.md

Hi there, I'm Laxman Madasu! πŸ‘‹

Welcome to my GitHub profile! I'm a passionate Data Scientist and Machine Learning Engineer with a strong background in developing and deploying data-driven solutions. Here’s a bit about me:

🌟 About Me

  • πŸ”­ I’m currently working on [Generative AI and computer vision projects]
  • 🌱 I’m learning advanced machine learning techniques and deep learning models
  • πŸ‘― I’m looking to collaborate on open-source projects related to AI and data science
  • πŸ€” I’m interested in solving real-world problems using data and AI
  • πŸ’¬ Ask me about Python, Machine Learning, Deep Learning, and Data Visualization.
  • πŸ“« How to reach me:(mail to:madasulaxman028@.com)
  • ⚑ Fun fact: I love exploring new technologies and applying them to solve interesting problems

πŸš€ Skills and Tools

  • Programming Languages: Python
  • DataBase: MySQL
  • Web Scraping: BeautifulSoup, Selenium, Scrapy
  • Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI
  • Machine Learning and Deep Learning: Scikit-Learn, TensorFlow, Keras, opencv, NLP
  • Generative AI: Openai, Googleai, Huggingface, Fine tuning, Transfer Learning, Langchain
  • Web Development: Flask, Streamlit
  • Cloud: AWS (EC2)

πŸ“˜ Projects and Achievements

  • Sentiment Analysis of Hotel Reviews:

    • Analyzed hotel reviews for sentiment classification using machine learning techniques.
    • Preprocessed text data and extracted features with BoW, TF-IDF, and Word2Vec.
    • Trained and evaluated models: Naive Bayes, Logistic Regression, and XGBoost.
    • Developed and deployed a real-time sentiment analysis app with Streamlit.
    • Achieved 83% accuracy in sentiment classification.
    • Project Repository
  • Regex Matching Web App Development using Flask:

    • Developed and deployed a regex matching web app on AWS EC2.
    • Implemented regex testing and email validation features.
    • Ensured application security and data privacy.
    • Project Repository
  • AI code reviewer:

    • Clean Streamlit UI for easy code submission.
    • Utilized GeminiAI API for accurate code analysis.
    • Identified bugs and provided suggestions for fixes.
    • Offered fixed code snippets for improved efficiency.
    • Project Repository

πŸ“š Blog Posts

πŸ”— Connect with Me:

@madasulaxman028 laxman madasu @madasulaxman028 laxman0285

πŸ› οΈ Languages and Tools:

aws mysql opencv pandas python pytorch scikit_learn seaborn tensorflow

madasulaxman

Β madasulaxman

madasulaxman

Thanks for visiting my profile! Feel free to reach out if you want to collaborate on a project or just want to chat about data science and AI.

madasulaxman

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