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tejassswa17/README.md

Hi, I'm Tejaswa

Who am I?

Computer Science graduate with a strong interest in Machine Learning, Generative AI, Data Analytics, and Software Development. I enjoy building real-world applications and working with modern AI technologies.

What am I currently working on?

  • Building Generative AI applications using LangChain & RAG
  • Developing Machine Learning projects
  • Improving skills in development and model deployment

Tech Stack

  • Languages: Python, SQL
  • Data Science & Analytics: Pandas, NumPy, Data Cleaning, EDA
  • Machine Learning: Scikit-learn, Feature Engineering, Model Building, Model Evaluation
  • Generative AI: LLMs, LangChain, RAG, Prompt Engineering, API Integration(LLM APIs)
  • Software Development: HTML, CSS, JavaScript, Bootstrap
  • Tools: Streamlit, Git, GitHub, VS Code

Career Objective

Seeking opportunities in Machine Learning, Generative AI, Data Analytics, or Software Development roles to apply my skills and contribute to real-world solutions.

Pinned Loading

  1. side-channel-attack-detection-using-ml side-channel-attack-detection-using-ml Public

    Machine learning project that detects security attacks in IoT systems by analyzing data and identifying unusual patterns.

    Jupyter Notebook

  2. MachineLearning MachineLearning Public

    My machine learning learning notes with practical notebooks on algorithms, preprocessing, and model evaluation.

    Jupyter Notebook

  3. Python-Notes Python-Notes Public

    My Python learning notes covering core concepts, practice problems, and basics for data science.

    Jupyter Notebook

  4. -Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews -Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews Public

    A simple Machine Learning project that analyzes text data and classifies it into positive, negative, or neutral sentiments

    Jupyter Notebook

  5. movie-recomender-system movie-recomender-system Public

    A machine learning-based movie recommendation system that suggests movies using content-based filtering and KNN.

    Jupyter Notebook

  6. Cricket-Analytics-A-Full-Web-Scraping-And-EDA-Project Cricket-Analytics-A-Full-Web-Scraping-And-EDA-Project Public

    Cricket analytics project using web scraping and EDA to analyze player performance data.

    Jupyter Notebook