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NanaliseH/README.md

Nanalise Howe

Mathematics | Statistics | Data Analytics & Data Science

I'm a Mathematics undergraduate concentrating in Data Science at Austin Peay State University, graduating in December 2026. I enjoy applying mathematics, statistical reasoning, and programming to understand data, evaluate relationships, and build predictive models.

My primary interests are financial analytics, statistical modeling, and data-driven decision-making. I'm particularly interested in using quantitative methods to study financial risk, lending behavior, and economic outcomes.

Technical Skills

  • Programming & analysis: Python, R, SQL, SAS
  • Statistical methods: Regression analysis, exploratory data analysis, statistical inference, predictive modeling
  • Data science: Machine learning, data cleaning, feature analysis, data visualization
  • Tools: pandas, scikit-learn, Power BI, Git, GitHub

Selected Projects

Current Academic Focus

My senior seminar research examines mortgage prepayment behavior using Freddie Mac loan-level data, with a focus on time-to-event analysis and factors associated with early loan payoff.

Connect

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  1. Enterprise-AI-Analytics-Transformation Enterprise-AI-Analytics-Transformation Public

    End-to-end consulting-style analytics project leveraging customer intelligence, forecasting, KPI development, executive dashboards, risk assessment, optimization modeling, and AI strategy recommend…

  2. personality-prediction-chatbot personality-prediction-chatbot Public

    Python chatbot that predicts personality traits based on user responses using a rule-based scoring system.

    Python

  3. bjj-training-journal-app bjj-training-journal-app Public

    SwiftUI iOS application for Brazilian Jiu-Jitsu training journals with speech-to-text logging, AI-assisted summaries, attendance tracking, and performance analytics.

    Swift

  4. reinforcement-learning-maze reinforcement-learning-maze Public

    Q-learning reinforcement learning project where an agent learns to navigate a maze through rewards and penalties.

    Python

  5. Sentiment-Analysis Sentiment-Analysis Public

    Machine learning sentiment analysis project using NLP techniques to classify customer reviews as positive or negative.

    Python

  6. wage-regression-analysis wage-regression-analysis Public

    Multiple linear regression analysis of wage determinants using R, model comparison, diagnostics, and statistical inference.

    R