Badawi Amin Muhammed
Data Analyst • Business Intelligence Expert • Research Scientist
Data Analyst • Business Intelligence Expert • Research Scientist
A Multi-disciplinary Data Analyst and Business intelligence expert, with deep expertise in transforming data into actionable insights. My work spans health analytics (Epidemiology and Bioinformatics), Machine learning, scientific research, Business intelligence, and predictive modeling; integrating both scientific precision and strategic decision thinking.
I build practical, scalable solutions using R, Python, SQL, Power BI, QGIS, and automation tools, with projects ranging from CRM systems and inventory automation to dashboards, web-scraping pipelines, and health-data modelling. My portfolio reflects a blend of scientific rigour, operational insight, and technical versatility — supported by experience in project management, systems design, and real-world implementation workflows.
You can download my professional resume below:
📄 Download ResumeA concise, professional overview of core technical, Research, and M&E competencies.
Python · R · SQL · LaTeX
Logical Framework · Theory of Change · Results-Based Management
Survey Design · Data Collection · Data Analysis · Publication Ethics
Tableau · Power BI · ggplot2 · Matplotlib
Apache Airflow · n8n · Power Automate
Machine Learning · Deep Learning · Model Deployment
A robust inventory and staff management system that allows role-based access (Admin, Store, Account), tracking of stock in/out, history, and staff records.
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This project demostrates how to build and train a simple neural network using the torch package.
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This project demostrates my work on machine-learning models to predict the course of breast cancer diseases. From model building, performance evaluation, to addressing disease related questions.
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The forecast package has been a rock-solid framework for time series forecasting. However, this project demonstrated use and comaprison an updated version named fable which now follows tidy methods.
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This project explores analysis & comparison of three of the most popular machine learning frameworks in R. The aim is to provide an understanding of how different frameworks can be used to achieve the same goal.
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An interactive Mobile App and Web Based App to Automatically retrieve customer measurements, & view all Order history (past & ongoing).
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This dashboard automates stock management in Excel using VBA macros and an interactive UserForm popup. It replaces manual updates with a fast, button-driven process.
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A simplified Search bar using Excel VBA and ActiveX Controls to create a functional and automated Employee Record Search System. It combines clean data management, and user-friendly navigation.
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An interactive Dashboard into HR employee management dataset — tracking performance, efficiency, and regional analytics. It complements the Excel VBA Search Automation System.
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This project explored the use the Logistic Regression algorithm in machine learning to train a model to predict heart disease.
View Project...coming soon
...coming soon
Quick insight into my tech stack and confidence bar.
Let's collaborate, consult, or talk data.