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Snig17/README.md

Hello there👋 Snigdha here!

A passionate and driven B.Tech student specializing in AI and ML

snig17

MasterHead


🌐About Me

  • Currently pursuing my B.Tech in Artificial Intelligence and Machine Learning at Vignana Bharathi Institue of Technology.I'm deeply passionate about the world of technology and data-driven innovation, My journey in this field has been marked by a thirst for knowledge and hands-on experience that has taken me to exciting places.
  • I've also embarked on a quest for continuous learning, earning certifications in Machine Learning and Deep Learning from renowned platforms like Coursera, Udemy, AWS, Great Learning, IBM, and Deeplearning.AI.
  • On the academic front, I take pride in being recognized as the topper in my class during the third year of my B.Tech program, a testament to my dedication and commitment to excellence.

💼 Experience

  • My journey in the world of tech has been nothing short of exhilarating, filled with valuable experiences that have shaped my career path.

  • As a dedicated enthusiast of AI and ML, I've had the privilege of gaining hands-on experience as an ML intern at several innovative startups.

    • Python Intern at DDOS(Oct 2022 - Dec 2022)
    • Machine Learning Intern at YBIF(Feb 2023- Mar 2023 )
    • Data Science Intern at Intern-Box (Feb 2023 - Apr 2023)
    • Salesfoce Developer Intern at Smart Internz(Apr 2023 - May 2023)
  • But my journey doesn't stop there. I thrive on the collaborative spirit of the tech community, and you'll often find me actively contributing to open-source projects. It's my way of giving back to the tech ecosystem that has given me so much.


💻🛠Languages and Tools

  • Programming Languages: Python, C

  • Machine Learning and Deep Learning:

    • Scikit-Learn
    • TensorFlow
    • Keras
    • Natural Language Processing (NLP)
    • Computer Vision
    • Reinforcement Learning
    • Neural Networks
  • Data Science and Analysis:

    • Data Preprocessing
    • Data Visualization (e.g., Matplotlib, Seaborn)
    • Feature Engineering
    • Statistical Analysis
  • Tools and Frameworks: Jupyter Notebook, Google Colab, Pandas, NumPy, OpenCV, Flask (for web applications), Streamlit, Docker, Git and GitHub

  • Data Manipulation and Databases: SQL

  • Version Control and Collaboration: Git/GitHub

  • Competitive Programming: Algorithm Design, Problem Solving, Data Structures

  • Development Environments: Visual Studio Code, PyCharm

  • AI Ethics and Responsible AI: Ethical AI Practices


🔗🤝🏼Let's Connect:

sangam snigdha

Coding

snig17

snig17

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