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  • Islambad,Pakistan

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NooranIshtiaq/README.md

Hi, I'm Nooran Ishtiaq

Building end-to-end AI systems · NLP · MLOps · Agentic AI · Computer Vision | FAST NUCES '26

About Me

I'm a final-year BS Data Science student at FAST-NUCES Islamabad, passionate about building intelligent, production-ready AI systems. My work spans the full ML lifecycle from data engineering and model development to cloud deployment and MLOps automation.

  • Research Intern at DataInsight Research Lab, working on deepfake detection with CNNs & computer vision
  • NLP & Data Science Intern at Decimal Solutions (in collaboration with SEAL Lab), building end-to-end NLP pipelines
  • Deeply interested in Agentic AI, LLM systems, RAG pipelines, and multi-agent frameworks
  • Experienced with AWS, Azure, Docker, Kubernetes, and CI/CD workflows
  • Based in Islamabad, Pakistan

Tech Stack

Languages

Python C++ SQL

Machine Learning & AI

Scikit-learn PyTorch LangChain HuggingFace

Data Engineering & Big Data

PySpark Kafka Hadoop Airflow

Cloud & MLOps

AWS Azure Docker Kubernetes MLflow

Web Development

React Flask JavaScript MongoDB MySQL

Data Visualization

Tableau D3.js Matplotlib

Education

BS Data Science FAST-NUCES, Islamabad (2022 – 2026)
Relevant Coursework: Machine Learning · Deep Learning · Artificial Intelligence · MLOps · Data Warehousing · Big Data Analytics · Agentic AI · Data Mining · Database Systems

Let's Connect

I'm actively seeking full-time opportunities in Data Science, Machine Learning Engineering, or MLOps roles. Feel free to reach out!

"Building intelligent systems that bridge research and real-world impact."

Popular repositories Loading

  1. TEXT_BASED_SENTIMENT_ANALYSIS TEXT_BASED_SENTIMENT_ANALYSIS Public

    Sentiment and thematic analysis on Amazon product reviews using NLP techniques. The project involves preprocessing raw text data, performing thematic categorization, and classifying reviews into po…

    Jupyter Notebook

  2. METRO-CASH-CARRY-DATA-WAREHOUSE METRO-CASH-CARRY-DATA-WAREHOUSE Public

    Designed and implemented a near-real-time data warehouse for METRO Pakistan using MESHJOIN algorithm in Java for efficient customer transaction analysis.

    Java

  3. Big_Data_Search_Engine Big_Data_Search_Engine Public

    A search engine implementation for large-scale datasets Key features include large-scale data processing, fast indexing, advanced search capabilities, and scalable architecture

    Jupyter Notebook

  4. Real-Time_Frequent_Itemset_Mining_on_Streaming-Data Real-Time_Frequent_Itemset_Mining_on_Streaming-Data Public

    Scalable streaming analytics pipeline implementing Apriori, PCY, and SON algorithms on Amazon product data using Apache Kafka, DASK, and MongoDB. Achieves 75% faster preprocessing with real-time fr…

    Jupyter Notebook

  5. BeatBox-Music-Recommendation-System BeatBox-Music-Recommendation-System Public

    An end-to-end music recommendation platform built on the Free Music Archive dataset, leveraging PySpark for scalable ETL, audio feature extraction, and MongoDB storage. A Nearest Neighbors model po…

    Jupyter Notebook

  6. COAL_DUCK-SHOOT_GAME COAL_DUCK-SHOOT_GAME Public

    A COAL project implementing a duck shooting game with multiple game modes. Features a title page, main menu, and two gameplay options: a single duck challenge with limited tries, and a two-level mo…

    Assembly