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AyeshaAbdulahi/README.md

💫 About Me:

🧱I'm currently working on: building machine learning models, backend systems that integrate with databases, and research projects combining data science with criminology.

💪I'm looking to collaborate on: data science, machine learning, or backend development projects that solve real-world problems.

🌱I'm looking for help with: growing my expertise in scalable machine learning engineering and cloud platforms (AWS, Azure, GCP).

📚I'm currently learning: advanced machine learning, optimization techniques, and cloud computing for data-driven applications.

🤓Ask me about: data analysis, criminology research, or my experience balancing a double major in Data Science and Criminology.

🍲Fun fact: I love discovering new restaurants and cafés—my favorite so far is Karahi Boys! 🍽️

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python R MySQL Keras Matplotlib NumPy Scipy Pandas TensorFlow PyTorch scikit-learn

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo


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  1. mapping-crime-trends mapping-crime-trends Public

    In this project, I assessed crime data across the United States to uncover trends and key insights. The analysis highlights patterns and significant findings related to crime rates, locations, and …

  2. netflix-vs-hulu-analyzing-streaming-service-content netflix-vs-hulu-analyzing-streaming-service-content Public

    This project compares the libraries of Netflix and Hulu to uncover key trends. It looks at genre, release year, content rating, and duration to answer: Which platform offers more variety? How has t…

  3. iphone-15-vs-samsung-s24 iphone-15-vs-samsung-s24 Public

    A database of Apple’s iPhone 15 models and Samsung’s Galaxy S24 models. This project compares key smartphone features using data analysis, including display, battery life, camera, and performance. …

  4. grammys-audience-analysis grammys-audience-analysis Public

    Analyzed GRAMMY Awards data with Python to uncover trends in award categories, artist wins, and genre popularity over time. Used Pandas for data cleaning and manipulation, and Matplotlib/Seaborn fo…

    Jupyter Notebook

  5. book-reviews-classifier book-reviews-classifier Public

    This project classifies book reviews as positive or negative using TF-IDF vectorization and logistic regression. It includes data preprocessing, feature extraction, and model evaluation, with perfo…

    Jupyter Notebook

  6. intel-sustainability-report-analysis intel-sustainability-report-analysis Public

    Analyzed sustainability-related datasets using SQL to extract insights supporting environmental and social goals. Performed data cleaning, filtering, joins, aggregations, and subqueries on complex …