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Tech-Nomadic-X/Readme.md

Hello, I'm Bhooma Anand 👋

I am a "B.Tech (Hons) CSE (AI)" student at "UTD CSVTU Bhilai", passionate about exploring "Artificial Intelligence (AI)", "Machine Learning (ML)", and "Data Science".

💼 About Me

  • Academic Background: B.Tech (Hons) CSE (AI) @ UTD CSVTU Bhilai
  • Passionate about: AI, Machine Learning, Data Science, and Open Source
  • Core Strengths: Problem-solving, critical thinking, and creative collaboration
  • Soft Skills: Communication, Teamwork, Adaptability, Time Management, Leadership
  • Looking for: Collaborative projects and opportunities to form teams for innovative solutions

⚙️ Skills & Technologies

Technical Skills

  • Languages: Python, SQL, R
  • Machine Learning: Scikit-learn, TensorFlow, Keras
  • Data Science: Pandas, NumPy, Data Visualization
  • Tools: Jupyter Notebook, Git, GitHub, Docker
  • Cloud: Azure, AWS (Basic)

Soft Skills

  • Collaboration: Strong team player, eager to collaborate and share knowledge
  • Communication: Excellent verbal and written communication skills
  • Adaptability: Ability to work in fast-paced, dynamic environments
  • Leadership: Experience leading small teams in academic and personal projects
  • Time Management: Effective in meeting deadlines and prioritizing tasks

🚀 Projects & Highlights

🔍 Sentiment Analysis on Product Reviews

A machine learning model to classify product reviews as positive, negative, or neutral.

  • Technologies Used: Python, NLP, Scikit-learn
  • GitHub Repo

📊 Customer Segmentation using Clustering

Utilized K-means clustering to segment customers based on purchasing behavior.

  • Technologies Used: Python, Scikit-learn, Pandas
  • GitHub Repo

📈 Sales Data Dashboard

Developed a dynamic sales dashboard in Excel for real-time analysis and decision-making.

  • Technologies Used:** Excel, Data Visualization, Power Query
  • GitHub Repo

🌱 Current Focus & Collaboration Opportunities

I am currently exploring:

  • AI Research: Deep learning models for image and speech recognition
  • Collaborative Projects: Looking to partner with fellow developers, data scientists, and enthusiasts to form teams for real-world applications of AI & ML
  • Open-Source Contribution: Actively seeking open-source projects to contribute to

If you are working on any exciting AI, Data Science, or Machine Learning projects and are looking for a collaborative team member, feel free to reach out. I am open to discussing ideas, sharing knowledge, and contributing to innovative solutions!

📢 Let's Connect!

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  1. decision-tree-classifier-iris decision-tree-classifier-iris Public

    "A Scikit-learn implementation of a Decision Tree Classifier on the Iris dataset with visualization and performance analysis."

    Jupyter Notebook

  2. E-Commerce-Product-Recommender-System-for-Micro-IT E-Commerce-Product-Recommender-System-for-Micro-IT Public

    AI-powered E-Commerce Product Recommender System built with Python and Streamlit, developed during my Micro IT internship to provide personalized product suggestions based on user selections.

    Python

  3. FAQs_chatbot_project-for-Micro-IT- FAQs_chatbot_project-for-Micro-IT- Public

    "AI-powered FAQ chatbot built using "Dialogflow" and "Flask" to answer internship-related queries at Micro IT Services."

    HTML

  4. internship_recommendation_system-for-Micro-IT internship_recommendation_system-for-Micro-IT Public

    "AI-Powered Internship Recommender System that suggests top internship domains based on your skills, with personalized email delivery and unsubscribe support."

    Python

  5. SocialX_anand SocialX_anand Public

    Forked from Anu-De/SocialX

    CSS

  6. weather-forecast-app-for-Micro-IT weather-forecast-app-for-Micro-IT Public

    🌤️ A real-time weather forecast app built with Streamlit, featuring 5-day forecasts, AQI, min/max temperatures, and an interactive temperature trend chart using OpenWeatherMap API.

    Python