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ashleyroque/README.md

Hello, I'm Ashley! ⁺˚⋆୭🌸⋆⁺

I'm a Computer Science + Economics student at UNC Charlotte passionate about transforming complex data into actionable insights. I enjoy building machine learning models and creating compelling visualizations that tell data-driven stories

  • 👀 I’m interested in Machine Learning, Artificial Intelligence, Cloud Computing, Software Engineering, Product Management, Business Analytics, and UX/UI Design.
  • 🌱 Currently working on Python and implementing Machine Learning algorithms to solve real-world problems.
  • 💞️ I’m open to collaborating on ML and Front-End Development projects, especially those that focus on creativity, sustainability, or impactful solutions.
  • 📫 Connect with me on LinkedIn to network or discuss potential opportunities.
  • 😄 Pronouns: She/Her
  • ⚡ Fun fact: I’m a Pilates enthusiast, iced coffee lover, and an avid reader of fiction books!

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  1. Market-Segmentation-of-Sephora-Skincare-Products-Using-K-Means-Clustering- Market-Segmentation-of-Sephora-Skincare-Products-Using-K-Means-Clustering- Public

    Market segmentation of Sephora skincare products using K-means clustering to identify distinct customer preference groups based on price, ratings, and reviews.

    Jupyter Notebook 1

  2. Instagram-Engagement-Classification-Project Instagram-Engagement-Classification-Project Public

    Predicts whether an Instagram post will have high or low engagement based on specific post characteristics.

    Jupyter Notebook 1

  3. Song-Popularity-Prediction-Machine-Learning-Analysis-of-Spotify-Data Song-Popularity-Prediction-Machine-Learning-Analysis-of-Spotify-Data Public

    This project uses machine learning to predict Spotify song popularity based on characteristics like danceability, energy, and tempo, offering insights for data-driven decision-making in the music i…

    Jupyter Notebook 1

  4. Predicting-Price-Points--A-Regression-Analysis-of-Sephora-Skincare-Line Predicting-Price-Points--A-Regression-Analysis-of-Sephora-Skincare-Line Public

    This project explores the factors influencing skincare product pricing through a regression model. Using a dataset of Sephora products and reviews, the analysis incorporates features such as brand,…

    Jupyter Notebook 1