A service to enhance the usability of SPARC by converting datasets into neurodata without borders and facilitating hypothesis-driven studies by providing preliminary analyses.

Data-driven analysis on NYC taxi trips to explore how payment methods impact fare amounts, using descriptive analysis, hypothesis testing, and regression modeling to optimize driver revenue.

Academic PM case study analyzing a GitHub Mobile (Android) PR regression using public user reports, hypothesis-driven analysis, and conceptual solution frameworks for learning and portfolio purposes.

Code for the project, "Do session-invariant representations exist for EMG-to-speech? A hypothesis-driven study of domain shift in electromyographic signals."

A data-driven statistical study of global mental health disorder prevalence (1990–2019) featuring EDA, time-series analysis, correlation heatmaps, hypothesis testing, and bootstrapping.

A data-driven case study analyzing employee turnover and satisfaction levels using descriptive analytics and statistical hypothesis testing to identify key factors influencing why employees leave a company.

This repo perform an exploratory data analysis and study of the nasdaq hourly dataset. The informations are translated into a clear, data-driven investment hypothesis or quantitative strategy.

Amazon Delivery Environmental Impact Analysis using PESTEL Framework A data-driven case study analyzing operational risks and opportunities in last-mile delivery using statistical modeling, hypothesis testing, and Power BI dashboard visualization.

A data-driven case study analyzing Nigeria’s macroeconomic trends (1991–2022) using Excel. Key indicators like GDP growth, unemployment, and inflation were explored through descriptive stats, regression models, and hypothesis testing to uncover economic patterns and validate policy-related claims.

This repository compiles projects on hypothesis testing across real-world applications. It includes ANOVA, t-tests, chi-square, proportion tests, nonparametric methods, and SPC charts. Each notebook is a case study showing how statistical testing supports data-driven decisions in operations, quality, and business.

A statistical analysis project that examines employee salary data to understand compensation patterns. It studies how factors such as gender, experience, and job role influence pay. The project applies data preprocessing, hypothesis testing, and regression models to identify significant differences and support data-driven insights.