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Lost in the world of code👩‍💻, where logic sparkle🪄 and programs cast spell🔮
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Lost in the world of code👩‍💻, where logic sparkle🪄 and programs cast spell🔮
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Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

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Tanyajain2006/README.md

"Conjure your code🪄, let the logic sparkle✨, and watch your programs cast their spell🔮."

Welcome to my GitHub! I'm Tanya Jain, a Computer Science Engineering (AI specialization) undergraduate at Indira Gandhi Delhi Technical University for Women. I am passionate about leveraging technology and AI to solve real-world problems and have experience in developing machine learning models, data analysis, and end-to-end AI solutions.

👩‍💻 About Me

  1. BTech in Computer Science Engineering (AI Specialization), IGDTUW (2023-2027)🎓
  2. CGPA: 8.59📚
  3. Skilled in Python, Java, C, and core computer science concepts like Data Structures, Algorithms, DBMS, and OOP.🔍
  4. Runner-Up at Ideagen 2024 Innovation Competition, with a project empowering artisans. 🏅

🚀 Featured Projects

  1. Anxiety and Depression Model Overview: Developed an ML model to detect anxiety and depression in social media posts with 89.59% accuracy. Tech Stack: Python, Scikit-Learn, TF-IDF, Multinomial Naive Bayes. Dataset: 6500+ annotated social media posts.

  2. Credit Card Fraud Detection Overview: Designed a Logistic Regression model achieving 92.39% accuracy for detecting fraudulent transactions. Enhanced predictive performance with hyperparameter optimization. Also authored a research paper, submitted to ICAIA 2025. Tech Stack: Python, Scikit-Learn, Pandas, NumPy, Matplotlib.

  3. Waste Segregation Model Overview: Built a CNN-based AI model for waste classification with 90% accuracy. Tech Stack: Python, TensorFlow, Keras, OpenCV. Impact: Streamlined waste sorting processes with augmented training datasets.

🌟 Achievements:

  1. Gold Medalist: Top 1% in Science Olympiad Foundation Exam, 2019.
  2. Mentorship Program: GDSC IGDTUW DSA Circle (2023-2024), achieving 15% efficiency improvement in problem-solving.
  3. Session Moderator: Conducted 10+ interactive sessions, improving engagement by 30%.

🛠️ Skills

  1. Technical Skills (a) Programming Languages: Python, Java, C. (b) CS Concepts: Data Structures, Algorithms, DataBase Management Systems, Object Oriented Programming, SQL.

  2. Soft Skills (a) Leadership (b) Event Coordination (c) Problem Solving (d) Public Speaking (e) Collaboration (f) Time Management.

📫 Connect with Me

  1. LinkedIn: https://www.linkedin.com/in/TanyaJain-igdtuw-cseai27/
  2. GitHub: https://github.com/Tanyajain2006

Let’s collaborate and build innovative solutions together!

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  1. Portfolio-Tanya_Jain Portfolio-Tanya_Jain Public

    HTML

  2. SQL-Retail-Sales-Analysis-Project SQL-Retail-Sales-Analysis-Project Public

    The Retail Sales Analysis project leverages SQL to analyze sales trends, customer behavior, and product performance in a retail dataset.

  3. DSA-1-GDG-Open-Source- DSA-1-GDG-Open-Source- Public

    Forked from GDG-IGDTUW/DSA-1

    Java

  4. Credit-Card-Fraud-Detection-AIML-Project- Credit-Card-Fraud-Detection-AIML-Project- Public

    Jupyter Notebook

  5. Python-Programming-Assignment-1 Python-Programming-Assignment-1 Public

    Python

  6. C C Public

    Forked from AlgoGenesis/C

    AlgoGenesis is a centralized open-source platform dedicated to providing optimized and well-documented algorithm implementations in C. Perfect for both beginners and advanced users, this repository…

    C