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pandakitty/README.md

Hi, I am Ashley Love! 👋

👩‍💻 Aspiring Data Scientist | Predictive Modeling & Data Visualization

Welcome to my corner of GitHub! I am deeply passionate about leveraging Python

🛠️ My Data Science Toolkit

These are the main technologies and tools I use for my projects:

Category Tools & Libraries
Languages Python, SQL, R
Machine Learning scikit-learn, XGBoost, Statsmodels
Data Analysis Pandas, Numpy
Visualization Matplotlib, Seaborn, Plotly
Cloud & Tools Git, Jupyter, AWS (S3, SageMaker basics), Docker

📊 Featured Projects

These projects showcase my ability to solve real-world problems using advanced data science techniques:

  • FraudDectectionw-Python: High-Impact Project: Developed a classification model for financial fraud, achieving 98.5% precision using SMOTE for class imbalance and Random Forest for feature importance.
  • sentimentanalysisw-Python: NLP/Text Analysis: Built an end-to-end sentiment classifier utilizing NLTK, CountVectorizer, and a Naive Bayes model to categorize text data.
  • stockdataviz-compw-Python: Time-Series Analysis & Visualization: Applied Pandas to analyze stock market trends and created compelling, interactive visualizations using Plotly to compare performance metrics.
  • customerchurnpredicitonwPython: Predictive Modeling: Engineered features from customer behavior data to build a Gradient Boosting Machine (GBM) that predicts customer churn with 85% accuracy.

🤝 Let's Connect!

I am actively looking for opportunities in Data Science, Data Analysis, and Machine Learning. Feel free to connect or reach out!

✨ My GitHub Stats

Popular repositories Loading

  1. RFM-Customer-Segmentation RFM-Customer-Segmentation Public

    Unsupervised learning model (K-Means) for customer segmentation using RFM analysis to drive targeted marketing campaigns.

    Python 1

  2. Fraud-Detection-with-Python Fraud-Detection-with-Python Public

    Machine learning model to detect fraudulent financial transactions using imbalanced data handling techniques and classification algorithms

    Jupyter Notebook

  3. sentiment_analysis_ipynb sentiment_analysis_ipynb Public

    An end-to-end Natural Language Processing (NLP) project demonstrating sentiment analysis using Python, NLTK, and scikit-learn on social media data

    Jupyter Notebook

  4. Financial-Time-Series-Analysis Financial-Time-Series-Analysis Public

    Time-series analysis and interactive visualization of equity performance, focusing on key financial metrics and comparative trends using Plotly

    Jupyter Notebook

  5. Customer-Churn-Analysis Customer-Churn-Analysis Public

    High-impact project using classification models (e.g., Logistic Regression, GBM) to predict and analyze customer churn for retention strategies.

    Jupyter Notebook

  6. ML-Powered-Estate-Valuation ML-Powered-Estate-Valuation Public

    A full-stack machine learning solution for predicting Anchorage housing prices using Lasso Regression and Flask deployment

    Jupyter Notebook