LUNYAMWI
To join the upcoming webinar go to 👉 link.
Lunyamwi
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. 🚀
Skills
Programming Skill
Python, SQL, C++,
C#, Bash, HTML5, CSS , MATLAB
Java Script, PHP
Math & Stat
Linear Algebra
Applied Mathematics I, II &III
Operating Systems
Window
Unix/Linux
Mac os
Techinologies
Docker,
VMware,
AWS,
Airflow,
MLflow
Software Engineering
MLflow ,
Tensorflow
GitHub
CI/CD
CI/CD
Travis CML
DVC
MLflow
Apache Tools
Kafka,
Spark
Airflow
Web & Visualization Tools
Streamlit,
Excel,
Python Flask
Heroku
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.
Projects
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.