Turning Data Into Research, Resources & Practical Knowledge
My portfolio reflects my work across data analytics, statistical research, machine learning, real-world dataset development and practical data education. From publishing applied research and developing datasets to creating practical tutorials using major real-world databases, my work focuses on one objective:
Using data to solve real problems, generate evidence and make analytical knowledge practically useful.
Leveraging Machine Learning to Maximize Profitability in Retail: A Case Study Using 2010-2011 Online Retail Data
This research develops a machine-learning-driven framework for predicting Customer Lifetime Value (CLV) and strategically segmenting retail customers using transactional data from the 2010-2011 Online Retail dataset.
The study evaluates customer revenue potential across 3-month and 6-month observation windows and compares Linear Regression and XGBoost for CLV prediction. XGBoost outperformed the baseline model in both scenarios.
The research further integrates Recency, Frequency and Monetary (RFM) analysis with K-Means clustering, connecting traditional customer-behaviour metrics with predicted customer value. The findings demonstrate how these techniques can support targeted customer engagement, retention and revenue optimization.
Analytical Techniques
Business Application
The project demonstrates how historical transactional data can be transformed into forward-looking intelligence for:
Real-World Retail & Service Business Data From Kenya
The NeluxTech Retail Dataset captures daily sales activity from a diverse retail and service business operating in Kenya.
The dataset contains transactions across different products and services, including food, stationery and cyber services, while distinguishing between loyalty and non-loyalty customer segments.
Created from internal sales records, the dataset provides a practical foundation for exploring real-world business questions and developing analytical solutions.
Potential Applications
Why I Published It
Real-world analytical skills are developed by working with data that reflects actual business problems.
I published the NeluxTech Retail Dataset to provide analysts, researchers, students and data science practitioners with a practical resource for exploring business questions, developing analytical models and experimenting with data-driven decision-making.
Explore the NeluxTech Retail Dataset on KaggleSolving Real-World Research Problems Using Stata
Beyond consulting and research, I create practical educational content designed to help researchers, students, institutions and research organizations understand how to solve real-world research problems using data.
My YouTube channel, Wilfred The Analyst, focuses particularly on applying Stata to real research workflows.
The content extends beyond teaching individual software commands.
Tutorials demonstrate the analytical journey from:
Real-World Databases Used
Tutorials and demonstrations draw on established real-world and public datasets, including:
National Health and Nutrition Examination Survey
National Ambulatory Medical Care Survey
National Hospital Ambulatory Medical Care Survey
Surveillance, Epidemiology, and End Results
Clinical and critical-care data
Demographic and Health Surveys
along with other public and institutional data sources.
Topics Covered
The objective is to help learners understand not only which commands to use, but also why an analytical method is appropriate, how to interpret the results and how to communicate the findings.
Visit Wilfred The Analyst on YouTubeAn important part of my portfolio involves working with large-scale public, research, health and economic databases.
My analytical workflows include experience with data sources such as:
Projects involving these datasets can require much more than statistical analysis alone.
The workflow may involve:
This experience supports projects across public health, healthcare, epidemiology, cancer research, economic analysis, population studies and other data-intensive research areas.
My portfolio spans multiple analytical environments and technologies
Core Capabilities
A Growing Portfolio of Applied Data Work
This portfolio will continue to document selected research, datasets, analytical projects, dashboards, statistical applications and educational resources.
Where client confidentiality applies, projects may be presented as anonymized case studies, focusing on the analytical challenge, methodology, tools and outcomes without disclosing confidential information.
If you need support with statistical analysis, research, machine learning, business analytics, real-world databases, dashboards or data-driven decision-making, tell me about your project.
Available for projects worldwide