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MT513-Web/README.md

Assalamu Alaikum, I'm Ayesha Afzal

Final-Year Computer Science Student (7th Semester) with a strong focus on Machine Learning Engineering and backend logic. Alongside my academics, I have gained hands-on experience through remote AI/ML engineering internships at DevelopersHub Corporation, working on real-world data pipelines, text classification models, and modern API integrations. I focus on writing clean, modular Python code, fine-tuning NLP transformer models, and turning practical experiments into deployable systems.

Core Learning Milestones

  • AI/ML Engineering Internship (DevelopersHub Corporation): Delivered production-grade tasks including BERT fine-tuning for multi-class news classification, automated support ticket tagging using the Gemini API (upgraded to Gemini 3.5), stock price regression models, and exploratory data analysis pipelines. Documented in DevelopersHub-Corporation_AI-ML-Internship-Tasks.
  • Python Foundations & Modular Logic: Completed Phase 1 covering procedural core logic, OOP principles, and modular architecture in Python-Learning. Transitioning into Phase 2 for vector mathematics, NumPy optimizations, and core ML algorithms.
  • Front-End Development: Executed a structured 30-day frontend sprint covering responsive HTML5/CSS3 layouts, DOM scripting, and JavaScript workflows in Frontend_Development_journey to build web frontends for machine learning applications.

Tech Stack & Tools

Python C++ NumPy Pandas Scikit-Learn Streamlit Git GitHub VS Code

GitHub Activity

Ayesha's GitHub Stats

Most Used Languages

Connect & Focus

  • LinkedIn: ayesha-afzal-aiml
  • Current Direction: Mathematical foundations of AI, vector search logic, and reproducible Machine Learning pipelines.

Pinned Loading

  1. customer-churn-web-app customer-churn-web-app Public

    An interactive Streamlit application to evaluate customer churn risk, process batch datasets, and provide model insights.

    Python

  2. Ecommerce_Analytics_Dashboard Ecommerce_Analytics_Dashboard Public

    An interactive production-grade Streamlit web application designed for automated data cleaning, statistical distribution diagnosis, and executive KPI reporting on e-commerce transaction data

    Python

  3. bert-news-classifier bert-news-classifier Public

    Production-grade news topic classification web app fine-tuned on BERT Base and built with Streamlit.

    Python

  4. DevelopersHub-Corporation_AI-ML-Internship-Tasks DevelopersHub-Corporation_AI-ML-Internship-Tasks Public

    Certified AI/ML internship repository showing my journey at DevelopersHub Corporation. Features real-world projects from training a BERT classifier and connecting Gemini APIs to building interactiv…

    Jupyter Notebook

  5. Python-Learning Python-Learning Public

    Core Python foundations, data engineering workflows, and pipeline automation scripts designed for Machine Learning frameworks.

    Python