About Me

I'm Arafath Azeez, an aspiring Data Analyst working toward becoming a Data Scientist, AI Engineer, and MLOps Engineer. I am passionate about data cleaning, automation, analysis and building real analytical workflows using Python, pandas, NumPy, and SQL. My journey is fully focused on mastering the complete AI engineering pipeline while developing industry-level analytical skills.

100%
Self-Learner
15k+
Rows Analyzed
4
Certifications
2025-2028
AI Degree Path

Education & AI Specialization

Diploma in Computer Science with Artificial Intelligence
NIBM – Sri Lanka
2025 – 2026
Semester 01 - Computer Science Foundations
Introduction to Computer Systems
Computer architecture, hardware fundamentals, and system components
Computer Programming
Programming fundamentals, algorithms, and problem-solving techniques
Mathematics for Computer Science
Discrete mathematics, logic, and mathematical foundations for computing
Software Engineering Fundamentals
SDLC, requirements analysis, design patterns, and development methodologies
Relational Database Management Systems
SQL, database design, normalization, and data management principles
Data Communications and Computer Networks
Network protocols, architectures, and data transmission technologies
Semester 02 - AI & Development Focus
Object Oriented Programming with Java
OOP principles, Java programming, and software design patterns
Introduction to Artificial Intelligence
AI fundamentals, search algorithms, and intelligent systems
Probability and Statistics
Statistical methods, probability theory, and data analysis foundations
Web Application Development
Front-end and back-end web technologies and application development
Project Management for Computer Science
Agile methodologies, project planning, and team collaboration
Social, Ethical and Professional Issues
IT ethics, professional conduct, and social impact of technology
Higher National Diploma in Computer Science with Artificial Intelligence
NIBM – Sri Lanka
2026 – 2027
Semester 01 - Advanced AI & Data Systems
Data Structures and Algorithms
Advanced data structures, algorithm design, and complexity analysis
Machine Learning for Artificial Intelligence
Supervised/unsupervised learning, model evaluation, and ML algorithms
Data Modeling and NoSQL Database
Non-relational databases, data modeling, and big data technologies
Embedded Systems
Microcontrollers, real-time systems, and hardware-software integration
Numerical Mathematics and Computing
Numerical methods, computational mathematics, and scientific computing
Internet of Things (IoT)
IoT architectures, sensors, connectivity, and smart device systems
Semester 02 - Specialized AI Technologies
Image Processing
Digital image analysis, filtering, transformation, and enhancement
Computer Vision
Object detection, recognition, and visual data interpretation
Cloud Computing
Cloud architectures, services, deployment models, and scalability
Robotics
Robotic systems, automation, and intelligent control systems
Natural Language Processing
Text analysis, language models, and computational linguistics
AI Project
End-to-end AI system development and implementation
BSc (Hons) in Computer Science with Artificial Intelligence
Coventry University (UK) – Delivered by NIBM
2027 – 2028
Intelligent Agent
Agent architectures, multi-agent systems, and autonomous decision-making
Security
Cybersecurity, encryption, secure systems design, and threat protection
Artificial Neural Networks
Deep learning architectures, training algorithms, and neural models
Machine Learning
Advanced ML techniques, model optimization, and real-world applications
Individual Project Preparation
Research methodology, project planning, and proposal development
Individual Project
Capstone AI project demonstrating comprehensive skills and innovation

Data Analytics Projects

Airbnb 15,000+ Row Dataset Analysis

Cleaned, standardized, and analyzed a large Airbnb dataset using Python, pandas, NumPy and advanced data processing techniques. Instead of deleting nulls, used coordinate-based logic to fill missing city/state entries. Utilized regex to fix inconsistencies like capitalization and formatting anomalies. Extracted insights on pricing, host activity, and location trends.

Python Data Analysis pandas NumPy Regex
NIBM Batch Performance Analytics

Built an automated scraper using BeautifulSoup to extract batch details, mark breakdowns, and competitor rankings from the NIBM portal. Bypassed captcha mechanisms and cleaned raw HTML data into structured datasets. Generated visual dashboards to compare performance across students using Python data visualization libraries.

Python Web Scraping BeautifulSoup pandas Data Visualization

Career Focus

My long-term path is clear: Data Analyst → Data Scientist → AI Engineer → MLOps Engineer. I am building strong foundations now to transition into advanced ML engineering and deployment at scale.