About Me
AI, Data Science & ML graduate with hands-on experience building end-to-end pipelines from data scraping and feature engineering to model deployment and RAG-based LLM applications. Delivered four live applications based on my niche and interest. Proficient in Python, SQL, Pandas, NumPy and machine learning frameworks and libraries such as scikitlearn, XGBoost and PyTorch. Strong in exploratory data analysis, model evaluation, hyperparameter tuning, and translating data insights into business decisions. Eager to contribute in artificial intelligence & data science realm.
Tech Stack
Python SQL Numpy, Pandas, Scikit-Learn, Seaborn, MatPlotlib Keras, PyTorch, Tensorflow Exploratory Data Analysis (EDA), Feature Engineering Google Colab, Jupyter Notebook, Power BI, Visual Studio Code
Experience
2025 — 2025
IT Intern
Majlis Perbandaran Sungai Petani Kedah (MPSPK)

Flexi-Parking Sentiment Analysis | Python, NLP, Power BI Analyzed sentiment across 3,500+ user reviews using Support Vector Machine (SVM) achieving 80% classifier confidence, identified 50/50 sentiment distribution (leaning negative) with key adoption barriers preventing mobile app adoption during digital transition Visualized sentiment trends and user feedback themes in an interactive Power BI dashboard to support data-driven decisions on app rollout for ICT department stakeholders

Education
2023 — 2026
Intelligent Systems Engineer
Universiti Teknologi MARA (UiTM)
Bachelor's Degree
2020 — 2023
Computer Science
Universiti Teknologi MARA (UiTM)
Diploma
Involvement
2026
Machine Learning Specialization: DeepLearning.AI & Stanford
Training

2026
Machine Learning Associate
Training

2025
IRExx Invention, Innovation & Design
Award

Sungai Petani, Kedah

2024
Excellance Award
Award

Sungai Petani, Kedah

2024
Prompt Design in Vertex AI
Training

2024
watsonx.ai Technical Essentials, watsonx Orchestrate: Build an AI Assistant
Training

2024
Database Programming with SQL, Database Design
Training