A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1

Categorization of world countries using socio-economic and health factors

A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms

Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.

Poland social-political consumption research

This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.

Repo for Manzano Analytics HTML website

Continuation of QVI_customer_analytics. This analysis seeks to find out the effect of product layouts on purchase behavior and sales

To aid with the prototyping of AI and machine learning models to augment process operations at the Western Sugar Scotts Bluff manufacturing facility and to further investigate several predictive models for fault detection, optimizing sensor placement, and minimizing plant disruption.

Exploratory Data Analysis project on the Forecasting of Air Cargo Demand for Southeast Asia. Uses R, Python, and SQLite.

This project features make it ideal for dynamic HR dashboards, offering insights into candidate profiles and recruitment processes.

This aim of this project is to analyze globular star clusters in the Milky Way, in order to understand their dynamics. The conducted study examined the properties that affect the central velocity dispersion, their impact and the correlations between them.

Detecting fraud in credit card transactions using a linear regression model on PCA-transformed features. Highly imbalanced data with 492 frauds out of 284,807 transactions.

Listening In: A Content Analysis of TED's YouTube and Spotify Channels

Handling Categorical Columns or Variables for Correlation Analysis

Analyzing Retail data to explore the dataset and answer a main question which is how we can make more money by improving weak areas and represent the data in an interactive way.

Hesitancy data from CDC was explored for correlational relationships to US Census Bureau Covid19 impact data, and 2020 election data.