Abdul Moiz
- |-| linkedin.com/in/abdul-moiz010 | github.com/abdulmoiz011
Education
National University of Science and Technology (NUST)
Bachelor of Science in Data Science
Govt. Model Science College
Intermediate in Computer Science (ICS)
Islamabad, Pakistan
Sep. 2023 – Present
Muzaffarabad, AJK
Oct. 2021 – May 2023
Projects
Skin Cancer Prediction using ML | Python, Pandas, Scikit-learn, Matplotlib
Apr 2025 – May 2025
• Used machine learning models to classify images and predict cancer types from dermatological image data
• Performed EDA and model evaluation using classification metrics and visualization tools
• Built and tested models including Random Forest and SVM for high accuracy
Credit Card Fraud Detection | Python, pandas, matplotlib, seaborn, scikit-learn
Mar 2025 – Apr 2025
• Analyzed the ’creditcard.csv’ dataset to detect fraudulent transactions using machine learning
• Preprocessed imbalanced data, applied PCA for dimensionality reduction, and tested models like Logistic
Regression, Random Forest
• Evaluated models using confusion matrix, ROC-AUC, and precision-recall curve
Analysis of Socio-Economic Trends in Pakistan | Python, MySQL
Mar 2024 – Apr 2024
• Designed and implemented a Database to Analyze Socio-Economic Trends in Pakistan using World bank’s data
• Extracted insights on indicators ranging from poverty rates to environmental statistics
• Developed SQL queries to answer questions based on database
Mastermind: AI Code Breaker | Python
• Implemented the Mastermind board game with an AI agent that guesses the secret code
• Used logical heuristics and pruning strategies for efficient code breaking
• Visualized step-by-step AI reasoning process in console
Nov 2024 – Dec 2024
Shop Management System | C++, OOP, File Handling
• Designed a menu-driven application to manage products, sales, and inventory
• Implemented CRUD operations and data persistence via file I/O
• Used object-oriented principles like classes, inheritance, and encapsulation
Apr 2024 – May 2024
Library Management System | C++, OOP, DSA
• Developed a CLI-based system to manage book issuance, returns, and student records
• Structured the codebase using OOP design and data structures
• Handled edge cases for overdue books and fines
Oct 2024 – Nov 2024
Certifications
IBM Business Intelligence Analyst
• Built dashboards and reports with Cognos; worked with Excel, SQL, Python for BI tasks
Present
Machine Learning Specialization
• Implemented ML models (SVM, neural nets, decision trees) with Scikit-learn and Python
Present
AI For Everyone
• Explored AI fundamentals, ethics, and business strategy
Jan 2025
Business Analytics with Excel
• Applied Excel tools (pivot tables, charts, modeling) to solve analytical business problems
Dec 2023
Technical Skills
Languages: Python, C, C++, Java, SQL, Basics of Assembly Language, HTML/CSS
Libraries: pandas, NumPy, matplotlib, seaborn, scikit-learn, SciPy, Plotly, NLTK, OpenCV, Keras
Developer Tools: RapidMiner, Git, VS Code, Jupyter Notebook, Google Colab, Excel
Visualization & BI: Power BI, Tableau, matplotlib, seaborn