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LybahNisar/README.md

πŸ‘‹ Hi, I'm Laiba Nisar

πŸ’» Data Scientist | 🧠 ML Engineer | πŸ€– AI Developer

πŸ“ Based in Lahore, Pakistan πŸ‡΅πŸ‡°

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Laiba Banner

πŸ‘©β€πŸ”¬ About Me

I'm a passionate Data Scientist and AI Developer, currently working as an AI Researcher at KICS, UET Lahore. I specialize in solving real-world problems using cutting-edge AI tools, machine learning pipelines, and statistical insights.

My focus includes:

  • πŸš€ Building scalable ML models
  • πŸ’¬ Implementing state-of-the-art NLP systems
  • 🧠 Developing with LLMs, RAG pipelines, and LangChain
  • 🎯 Deploying AI apps using Streamlit, FastAPI & Django

🧠 Tech Stack

πŸ‘©β€πŸ’» Core Skills

🌍 Domains & Frameworks

βš™οΈ Tools & Platforms


🏒 Work Experience

πŸ§ͺ AI Researcher @ KICS, UET Lahore

  • Developed ML models for healthcare and education domains
  • Led R&D on AI automation, LLM integration, and data visualization
  • Applied RAG (Retrieval-Augmented Generation) pipelines for smart search and Q&A systems
  • Fine-tuned language models using HuggingFace Transformers

πŸ“Œ Key Competencies

  • βœ… Supervised & Unsupervised ML
  • βœ… Deep Learning & Neural Networks
  • βœ… LLM Prompt Engineering & Tokenization
  • βœ… RAG Architectures for Contextual Search
  • βœ… NLP Techniques (NER, Sentiment, Summarization)
  • βœ… Data Visualization with Matplotlib, Plotly, Seaborn
  • βœ… Feature Engineering & Preprocessing
  • βœ… Model Deployment using APIs & Streamlit

🌱 Currently Exploring

πŸ§ͺ LabRAG + Vector DBs (FAISS)
πŸ“Š Explainable AI (XAI)
πŸ” LangChain for Multi-Tool AI Agents
πŸ”§ AutoML & Optimization (Optuna, Sklearn Pipeline)

Popular repositories Loading

  1. LybahNisar LybahNisar Public

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    Interactive data visualizations of the Iris dataset using Plotly and Bokeh β€” explore multi-dimensional relationships with filters, hover, zoom, and 3D charts.

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    Handwritten digit recognition on the MNIST dataset using deep learning techniques, achieving up to 99% accuracy with Dense Networks, CNNs, Data Augmentation, Dropout, and Autoencoders.

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