To join the upcoming webinar go to 👉 link. 


Your premier destination for data excellence. 🌐 Elevate your skills with our comprehensive data science courses. 📊 Unleash the power of your data with our top-tier extraction, transformation, analytics, and predictive modeling services. 🔍 Transform your data, shape your future. 🚀

Data Consultancy


LinkedIn: linkedin profile 

Medium: blog 


Programming Skill 

Math & Stat

Operating Systems


Software Engineering 


Apache Tools

Web & Visualization Tools

About Lunyamwi

Lunyamwi stands as a beacon of excellence in the realm of data services. Our comprehensive data science courses offer a transformative educational experience, empowering individuals to navigate the complexities of data analytics with proficiency. Through cutting-edge techniques and hands-on training, participants elevate their skills to meet the demands of the evolving data landscape.

On the consultancy front, Lunyamwi provides specialized services, including meticulous data extraction and transformation processes. Our analytics services delve into the depths of data, extracting actionable insights to drive informed decision-making. Additionally, our predictive data modeling services forecast trends and patterns, enabling clients to anticipate future developments. With a commitment to precision and innovation, Lunyamwi transforms raw data into a strategic asset, offering clients the tools to shape a future of data-driven success. Partner with us for a journey into the world of data excellence, where knowledge and services converge for unparalleled insights and opportunities.


Breast Cancer Diagnosis

We apply machine learning techniques to the Wisconsin Diagnostic Breast Cancer (WDBC) data. The WDBC data is class labeled, hence it will be a classification problem. The data has two classes (B=Benign, M=Malignant) and 32 attributes, or features. In all testing we did using Causal inference and we saw that the "mean" features and low radius mean has a causal effect on the breast cancer diagnosis. 

Rosman Pharmaticula Sales Prediction 

The main task of this project was to predict daily sales in various stores up to 6 weeks ahead of time. Deep Learning techniques was used to predict various outcomes including but not limited to future sales. From the analysis I found that promotion has an impact on sales. 

Before investing in a business it is a must to have the best understanding of the field. This project is all about analyzing TellCo's users and finding out whether it is worth buying or selling.

Agri_tech LiDar ETL 

In this project, I took data using API provided by USGS_3DEP ( United States Geological Survey 3D Elevation Program). AgriTech is a company working on maize farms and this project is done for the study of maize farms for water flow across different geographical areas. Extraction, Visualization, and transformation of data were achieved in this project.