Hello, welcome to my portfolio page.

I am Amin Muhammed Badawi, a Data Scientist, AI & ML Engineer, and Research Data Analyst.

I build decision-grade analytics, automation systems, and research workflows that convert complex data into practical, measurable outcomes for organisations and communities.

I focus on solutions to the critical questions:

  • What will happen next?
  • Why is it happening?
  • What should we do about it?
Delivery Focus Evidence + Implementation
Core Stack Python . R . SQL . Power BI . VBA . LaTeX
Specialties M&E . BI . Applied AI . Workflow Automation . Data Systems Consultation
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Aminu Muhammed Badawi Data Scientist · AI & ML Engineer · Research Data Analyst

About Me

Badawi Aminu Muhammed

A Multi-disciplinary Data Scientist 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.

My approach combines analytical rigour with engineering discipline. I build across the full AI lifecycle:

  • Data extraction, cleaning, and transformation using SQL and Python
  • Exploratory data analysis, statistical modelling, and feature engineering (Pandas, NumPy, Scikit-learn)
  • Machine learning and deep learning model development (Scikit-learn, PyTorch)
  • API development and deployment (FastAPI, Docker)
  • Integration of LLM-powered workflows and automation (LangChain, modern AI frameworks)
  • Monitoring, optimisation, and continuous system improvement

Resume

Preview my CV first, then download if needed:

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Certifications

I maintain a focused portfolio of certifications covering analytics, automation, and applied machine learning. For the full verified list and certificate previews, visit the dedicated page.

Analytics Automation Machine Learning Governance
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Services

I help organisations and individuals turn complex data into clear, actionable insights through evidence-based analytics, automation, and decision intelligence.

Data Analysis & Insights

Exploratory data analysis, statistical modelling, and insight generation using Python, R, SQL, and Excel to support data-driven decisions.

Business Intelligence & Dashboards

Interactive dashboards and reporting systems using Power BI and Tableau to monitor performance, trends, and KPIs.

Automation & Data Pipelines

Workflow automation, data extraction, and integration pipelines using Python, APIs, n8n, Zapier, and cloud tools.

Machine Learning & Predictive Modelling

Predictive models for forecasting, classification, and risk analysis using machine learning and deep learning frameworks.

Research & Health Analytics

Epidemiological analysis, bioinformatics workflows, survey design, and scientific research support with reproducible methods.

Consulting & Data Coaching

One-on-one mentoring, project advisory, and analytics consulting for teams, researchers, and early-career data professionals.

Cloud Computing Solutions

Cloud-ready data workflows, lightweight deployment support, and scalable integration design across modern cloud services.

Monitoring & Evaluation (M&E)

Indicator framework design, performance tracking, data quality checks, and evidence-based reporting for program and project outcomes.

Ready to discuss your project, data challenge, or coaching needs?

Book via Calendly 1-on-1 Consultation

Industry Level Services

Cigma Intelligence Solutions

We investigate, analyse, and automate your business data to deliver actionable solutions for long-term operations growth.

Dashboards Automated Alerts Weekly Decision Reports Business Insights AI Integration
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Service Highlights

  • Business process automation (inventory, CRM, customer feedback loops).
  • Data-driven analytics (dashboards, pipelines, predictive modelling).
  • Data mentorship and training for teams and growth programmes.
  • AI integration (LLM workflows, personalised chatbots).
  • Monitoring and evaluation frameworks (ToC, LogFrame, KPI mapping).

My Work Structure

How I work summary visual

My workflow is structured to move from problem clarity to practical delivery in a transparent, editable process. I focus on decisions first, then methods, then reporting outputs stakeholders can use.

From planning and data architecture to modelling, evaluation frameworks, dashboard development, and strategic reporting. Each solution is built to be future-proof — adaptable, evidence-based, and aligned with long-term performance, learning, and decision-making goals.

  • Problem definition and stakeholder alignment
  • SMART objective setting and method selection
  • Implementation, QA, and reporting for decisions
Open Detailed Work Structure

Featured Projects

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Operations-Management-System-Built-with-Python-Streamlit

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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Building & Performing Neutral Networks Analysis in R with Torch

This project demostrates how to build and train a simple neural network using the torch package.

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Machine Learning models for Breast Cancer Disease

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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📈 Foreasting Time Series Data in R with tidy

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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Spatial Analysis & machine learning with R

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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Fashion Business CRM – Google Sheets + AppSheet Integration

An interactive Mobile App and Web Based App to Automatically retrieve customer measurements, & view all Order history (past & ongoing).

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🧾 Excel Inventory Management System (VBA Automated)

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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Excel HR Employee Large Dataset Search bar Automation

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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Employee PowerBI Dashboard Analytics

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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Heart Disease Prediction Analysis

This project explored the use the Logistic Regression algorithm in machine learning to train a model to predict heart disease.

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Hospital-Management-System with SQL+Python+Tkinter+Bcypt

...coming soon

Root Cause Anlysis using SPSS and Nvivo

...coming soon

Analytics Snapshot

A concise view of my technical stack strengths and delivery profile.

Core Tools 8
Average Proficiency 89%
Top Skill Python
Delivery Focus Insight + Automation

Technical Proficiency Index

Normalized confidence score across analytics, BI, and ML tooling.

Programs & Artifacts

Some Intensive programs experiences with full description from implementation context, photo galleries, evidence artifacts, and contributor details.

Data Science and AI Bootcamps in Zamfara

Data Science and AI Bootcamps in Zamfara and Kano

Hands-on capacity-building sessions focused on analytics literacy, AI fundamentals, and practical deployment.

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BT-Hub Year Planner 4-Day Retreat

Data Science community Year roadmap and restrategization retreat covering planning systems, execution cycles, and impact checkpoints.

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FESIP Journal Club Webinar with Floret Centre for Advanced Genomics

Session on Analysis of global TB incidence estimates in pregnant and postpartum women with HIV as a comparative group.

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Facilitator: EdTech Community Webinar

Professional session on developing a digital teaching portfolio with practical structure, content standards, and hands-on Demo.

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New: Insight Briefs

Explore My Technical Blog

Deep dives on analytics architecture, AI governance, and decision-focused delivery frameworks from real projects.

Applied Data Science Program Intelligence AI Workflow Governance
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Featured Insight

AI Has a Control Panel

Why prompt engineering alone is not enough and how parameter strategy shapes every AI output.

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Latest Post

You Don't Have a Query Problem. You Have an Indexing Problem.

A clear breakdown of why indexing changes query performance and how to think about access paths.

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Clients & Collaborators

Feedback from collaborations, projects, and technical support engagements.

"Amin optimised my Business structure using our customer data to maximise patronage and automate stocking and revenue tracking."

Jamil Umar muhammed, El-jameel Assorted Textiles

"Strong technical depth, clear communication, and reliable delivery from implementation to reporting."

Dr. Fauzat Bello, UZAT Global Consult

"I commend your scientific rigour and systematic approach to indepth analysis of the FESIP project ."

Dr. Flora Davies, Floret Centre for Advanced Genomics...

Get in Touch

Let's collaborate, consult, or talk data.

Contact Information

officialbadawy@gmail.com

badawy.muhammed@floretcenter.org

08065440075 | WhatsApp

Zaria-Kaduna, Nigeria

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