meghanashetty

👋 About Me

Hi, I'm Shetty Meghana — a passionate and curious tech enthusiast pursuing a B.Tech in Computer Science with a specialization in Data Science at VNR VJIET. I'm driven by the power of data to tell stories, solve problems, and build impactful solutions. I enjoy exploring real-world problems, and I’m actively working on projects that bridge business understanding with technical insights.

Tech Skills

Currently Proficient In:

Programming Languages : C, C++, Python, Java, JavaScript, SQL Libraries and Frameworks : React.js, Node.js, Flask, MongoDB, LangChain, Hugging Face Transformers, TensorFlow, Scikit-learn, PyTorch Tools & Platforms : Git, GitHub, Postman, VS Code, Google Colab, Jupyter Notebook, Tableau, Microsoft Excel

Currently Learning / Planning to Learn:

• Advanced Machine Learning (Deep Learning, NLP, Computer Vision)
• Cloud Platforms (AWS, Azure)
• Big Data Tools (Apache Spark, Hadoop)
• DevOps & MLOps (Docker, CI/CD basics)

📂 Projects I Worked On

• Eventures — Event Management Platform Engineered a vendor-customer plagorm using Vite + React.js, Tailwind CSS, Node.js, Express.js, and MongoDB, enabling seamless event bookings.
• Smart Attendance System
  Developed a real-time AI-based attendance system using Python, OpenCV, and NumPy, achieving 95%+ accuracy.
• Alpaca Recognition
  Developed a deep learning-based alpaca recognition model using TensorFlow and CNNs, achieving 98% accuracy.
• Amazon Product Classification Hackathon
  Built a model to classify products into Amazon’s browse nodes using product metadata.

📜 Certifications

• Udemy Certification: Full-Stack Development
• Accenture Certification: North America Data Analybcs Virtual Experience
• DeepLearning.AI Certification: ChatGPT Prompt Engineering

🌟 Aspirations

I aspire to become a Data Scientist or AI Engineer who builds solutions that matter. I also aim to explore Cloud Engineering and ML Engineering, blending infrastructure with intelligence.