Analyzed a 10-year USD/EUR exchange rate dataset using ARIMA and Exponential Smoothing forecasting models. Achieved a MAPE of approximately 4.68% and RMSE of about 0.0605 for both models.

Explore the world of European football through comprehensive quantitative analysis, uncovering valuable insights into player attributes, potential, and wage determinants.

R source code for my Group Project Essay on Generalised Additive Model

Call-center discrete event simulation project mostly done using numpy and simple data structures.

Zephyr is a platform which provides users with the predicted AQI levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.

Statistical computing in R language. Includes logistic regression, clustering, factor analysis, decision trees, and other multivariate topics as time permits.

In this repository, I learned basic Python programming for Data Analyis and Data Science. 🐍📊. It was an exciting journey!".

Prediction of customer churn with logistic regression in R. Team project from UPC's Master's Degree in Data Science

Personal implementation of the applied exercises of the ISLP book

Statistical models and predictions derived from data from the WNBA 2024 season.

Slides for the 26th International Conference on Computational Statistics (COMPSTAT 2024)

A repo of all my baseball analytics projects. Reach me at danielthom18@outlook.com

Arhive of other projects not categorized into repositories.

SDS 385: Statistical Models for Big Data

A Turkish language model using syllable and character based n-grams (1-gram, 2-gram, 3-gram) built on the Turkish Wikipedia Dump dataset for random sentence generation for NLP tasks and language modeling.

Ce projet en R porte sur l’étude de la densité g et de la fonction de régression r de données où les xi et les yi sont les réalisations de variables aléatoires réelles

This Project centers on time series forecasting that deploys the ARIMA (AutoRegressive Integrated Moving Average) model which is one of the most trending statistical models as far as financial analytics is concerned. This was done through historical Nifty 50 data of stock market performed on trend analysis, time series decomposition.

Statistical analysis of tesla stock market data

Escrevendo um plugin experimental para interpolação (IDW e Krigagem) no QGIS.

Analysis of software project costs, identifying key factors that significantly influence effort requirements, through statistical modeling and hypothesis testing.