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aisha1021/README.md

Hi there, I'm Aisha!

Welcome to my GitHub! I am a Senior at Hunter College in New York City, studying Computer Science with minors in Mathematics and Business. I'm an aspiring machine learning engineer with a love for all things data, coding, and problem-solving. My projects dive into AI, geospatial analysis, and web development.

Featured Project: Replication of Community-Based Fact-Checking on Twitter’s Birdwatch Platform (Microsoft DS3)

Explore our collaborative replication of a key computational social science study analyzing how users contribute to Twitter’s (now X’s) Community Notes platform. We recreated the main findings from Proellochs (2021) using publicly available data and extended the analysis to explore the role of political bias in user evaluations.

  • Tools: R, Bash, tidyverse, ggplot2, MASS, broom, RMarkdown, GitHub, Twitter Community Notes Public Dataset

Explore the project on GitHub: Birdwatch Replication

By: Aisha Malik (CUNY Hunter College) & Vanessa Reino (Rider University)

Languages & Tools

Projects

  • NSF REU Research on Water Quality
    Developed machine learning models to track DOC levels in lake water using satellite imagery.

    • Tech Stack: Google Earth Engine, Python, Remote Sensing Tools
    • Learnings: Working with satellite data and applying ML for environmental research.

  • AI Financial Question-Answering LLMs for Anote
    Tested small LLMs on financial question answering with FinanceBench.

    • Tech Stack: Python, Retrieval-Augmented Generation (RAG), LoRA, Pandas, NumPy, Transformers, Google Colab
    • Learnings: Fine-tuning AI models and implementing RAG for accurate, context-aware financial answers.

  • PantryPal
    A pantry management app to track pantry items and create lists.

    • Tech Stack: Next.js, Firebase, Material UI
    • Learnings: Building interactive web applications and integrating real-time databases.

  • CSCI 235: Software Analysis and Design II
    Designed and implemented object-oriented projects focusing on data structures and algorithms.

    • Tech Stack: C++, OOP Principles
    • Learnings: Developing efficient algorithms and mastering object-oriented programming concepts.

  • Break Through Tech AI at Cornell Tech
    Created AI-driven solutions targeting social impact with predictive analysis and ML applications.

    • Tech Stack: Python, scikit-learn, Pandas
    • Learnings: Leveraging AI for societal challenges and exploring real-world applications of machine learning.

GitHub Stats

Top Languages

Let’s Connect!

Thanks for visiting, and happy coding! 😊

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  1. CSCI_235_Software_Analysis_and_Design_ll CSCI_235_Software_Analysis_and_Design_ll Public

    C++

  2. PantryPal PantryPal Public

    PantryPal is a pantry management app built with React, Next.js, and Firebase. It allows users to track inventory and manage shopping lists with real-time synchronization. The app features a respons…

    JavaScript

  3. CSCI_135_Software_Analysis_and_Design_l CSCI_135_Software_Analysis_and_Design_l Public

    C++

  4. AJL_Equitable-AI-for-Dermatology AJL_Equitable-AI-for-Dermatology Public

    Ensemble deep learning model for equitable skin disease classification across diverse skin tones, built for the Algorithmic Justice League Kaggle competition. Achieved 2nd place (virtual) and 4th o…

    Python 1