👋 Muwafak Abubakar

Backend Developer • Data Analyst • Computer Science Student

Building reliable backend systems and turning data into actionable insights.

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👨‍💻 About Me

I'm a Computer Science student at Albukhary International University (AIU), Malaysia, focused on backend development and data analytics.

I enjoy building REST APIs, working with databases, cleaning and analyzing datasets, and transforming data into meaningful insights that support better decisions.

My core interests include:

• ⚙️ Backend Development
• 📊 Data Analytics
• 🐍 Python Development
• 🗄️ Database Systems
• 🔌 REST API Development
• 📈 Data Visualization
• 🤖 Machine Learning Fundamentals

I'm working toward becoming a strong backend developer and data analyst, with the ability to build reliable systems and use data to understand and solve real-world problems.

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🧑‍💻 Developer Profile

class MuwafakAbubakar:
    name = "Muwafak Abubakar"
    role = "Backend Developer & Data Analyst"

    education = {
        "degree": "BSc Computer Science (Honours)",
        "university": "Albukhary International University"
    }

    backend = [
        "Python",
        "FastAPI",
        "Node.js",
        "Express.js",
        "REST APIs"
    ]

    analytics = [
        "Python",
        "SQL",
        "Pandas",
        "NumPy",
        "Matplotlib",
        "Jupyter"
    ]

    databases = [
        "PostgreSQL",
        "MySQL",
        "MongoDB",
        "SQLite",
        "Redis"
    ]

    currently_learning = [
        "Docker",
        "Cloud Deployment",
        "Backend Architecture",
        "Data Analytics"
    ]

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🛠️ Technical Skills

🐍 Programming Languages

Python • JavaScript • TypeScript • Java • SQL • Bash

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⚙️ Backend Development

FastAPI • Node.js • Express.js • Django • REST APIs

• REST API development
• CRUD operations
• Authentication & authorization
• API integration
• Request validation
• Error handling
• Backend architecture
• Database integration
• API testing with Postman

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📊 Data Analytics

Python • SQL • Pandas • NumPy • Matplotlib • Jupyter

• Data cleaning
• Data preprocessing
• Exploratory Data Analysis (EDA)
• SQL querying
• Statistical analysis
• Data visualization
• Feature engineering
• Dataset transformation
• Insight generation
• Reporting and interpretation

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🗄️ Databases

PostgreSQL • MySQL • MongoDB • SQLite • Redis

• Relational database design
• SQL queries
• Data modeling
• CRUD operations
• Database integration
• NoSQL fundamentals

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🤖 Machine Learning

Scikit-learn • Pandas • NumPy • Matplotlib • Jupyter

Familiar with:

• Classification
• Regression
• Logistic Regression
• K-Nearest Neighbors
• Decision Trees
• Random Forest
• Model evaluation
• Confusion matrices
• ROC/AUC
• Feature importance
• SMOTE
• PCA fundamentals

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🔧 Tools & Platforms

Git • GitHub • Docker • Linux • VS Code • Postman • Vercel

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📚 Currently Learning

Area	Focus
⚙️ Backend	API architecture, scalable services & best practices
📊 Data Analytics	Advanced analysis, visualization & reporting
🐳 DevOps	Docker, deployment & development workflows
🗄️ Databases	Database design, optimization & integration

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🎓 Education

🇲🇾 Albukhary International University

Bachelor of Computer Science (Honours)

Malaysia

Currently completing my undergraduate studies with interests in:

Backend Engineering • Data Analytics • Software Engineering • Artificial Intelligence

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📈 GitHub Analytics

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🐍 Contribution Graph

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🏆 Certifications & Education

• 🎓 Bachelor of Computer Science (Honours) — Albukhary International University
• 🤖 Microsoft AI Certification
• 💻 Great Learning Academy — Computer Fundamentals

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💼 What I Bring

⚙️ Backend Python backend development REST API design FastAPI & Node.js Database-driven applications Authentication & authorization API testing Git & version control

📊 Data Python data analysis SQL querying Data cleaning Exploratory Data Analysis Data visualization Statistical analysis Machine learning fundamentals

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🎯 Career Focus

⚙️ Backend Development

Building APIs, backend services, database-driven applications, and reliable software systems using Python, FastAPI, Node.js, and SQL.

📊 Data Analytics

Using Python, SQL, Pandas, and visualization tools to clean, analyze, interpret, and communicate insights from data.

🔗 Data-Driven Applications

Combining backend engineering and data analytics to build applications that collect, process, and make better use of data.

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🚀 My Direction

                    COMPUTER SCIENCE
                          │
              ┌───────────┴───────────┐
              │                       │
              ▼                       ▼
       BACKEND DEVELOPMENT      DATA ANALYTICS
              │                       │
       Python • APIs            Python • SQL
       FastAPI • Node.js        Pandas • NumPy
       PostgreSQL • MongoDB     Visualization
              │                       │
              └───────────┬───────────┘
                          │
                          ▼
                DATA-DRIVEN SYSTEMS

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📫 Let's Connect

Open to internships, collaborations, and opportunities in Backend Development & Data Analytics.