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  • UNAM
  • Mexico

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Daniel-Ro-Santiago/README.md

Hi there

I'm Daniel, an actuarial science student based in Mexico.

I'm interested in applying statistics, mathematics, and data science to develop better solutions for complex problems.

I develop projects in areas such as actuarial modeling, machine learning, financial analysis, computational biology, and software development.

Sometimes I also program games, mobile apps, or ideas just for fun.

My main tech stack includes Python, R, SQL, SAS, and Shell, along with libraries such as Pandas, Scikit-learn, and FastAI. My favorite tools and platforms are Hugging Face and Power BI.

I've got a bunch of pinned projects, but one of my favorites is Dogecoin Time Series Analysis and Forecasting.

Facts:

  • Currently exploring computer vision.
  • Occasionally working on soccer match data analysis.

Pinned Loading

  1. Credit-Approval-Using-ML-Models Credit-Approval-Using-ML-Models Public

    This project evaluates the performance of different machine learning models on a banking dataset related to personal loan approval.

    Jupyter Notebook 1

  2. Dogecoin-Time-Series-Analysis-and-Forecasting Dogecoin-Time-Series-Analysis-and-Forecasting Public

    This project performs a time series analysis of the Dogecoin (DOGE) cryptocurrency closing price, including series decomposition, statistical testing, ARIMA modeling, and a 30-day price forecast.

    Jupyter Notebook 1

  3. Life-Insurance-Pricing-and-Reserves-Model Life-Insurance-Pricing-and-Reserves-Model Public

    This project computes net single premiums (NSP), annuities, reserves, and other actuarial metrics for different life insurance products (Term, Whole Life, and Endowment) using simulated policy data…

    VBA 1

  4. Option-Pricing-and-Hedging-Strategies-for-Portfolio-Optimization Option-Pricing-and-Hedging-Strategies-for-Portfolio-Optimization Public

    This project analyzes stock market data, implements option pricing models (Binomial Trees, Black-Scholes-Merton and Monte Carlo Simulation), evaluates hedging strategies and constructs an optimized…

    Jupyter Notebook 1

  5. Spotify-Songs-MDS-Analysis Spotify-Songs-MDS-Analysis Public

    This project applies multidimensional scaling (MDS) to a Spotify songs dataset to identify the two most similar songs among the top 30 most popular tracks.

    Jupyter Notebook 1

  6. Pong-Game Pong-Game Public

    This project implements the classic Pong game in Python using Pygame, featuring local multiplayer with two players controlling opposite paddles.

    Python 1