Azlin Rusnan Portfolio

This portfolio showcasing my projects and expertise in data analysis, machine learning, and data visualization.

Achievements

• Recognized for academic excellence with a Master’s Degree (CGPA 3.70).
• Recipient of UKM dean's list performance (4.0 GPA)

Projects

Gen AI for Image Synthesis Using Diffusion Models (DDPM)

This project implements a Denoising Diffusion Probabilistic Model (DDPM) — a type of generative AI capable of creating realistic images from random noise.

Enhancing Customer Satisfaction Through Sentiment Analysis and Predictive Modeling

This project focuses on optimizing Customer Satisfaction (CSAT) analysis through Sentiment Analysis and Predictive Modeling. Using Natural Language Processing (NLP) and Machine Learning (ML), the project improves sentiment classification accuracy, aligns sentiment scores with CSAT ratings, and enhances predictive modeling performance.

Bank Turnover Analysis

This project focuses on analyzing bank turnover to identify key factors contributing to customer churn in the banking sector. By leveraging data-driven insights, we aim to propose strategies to improve customer retention and enhance service delivery.

Airlines On Time Analysis

This project provides an analysis of flight delays and cancellations for an airline. The goal is to understand the key factors causing these issues and suggest ways to improve.

Voice Aging Analysis: A Study on Siti Nurhaliza's Voice Using FFT and STFT

This study compares the vocal characteristics of Siti Nurhaliza in 2001 and 2022 by analysing the song "Azimat Cinta." The analysis includes waveform analysis, Fourier Transform (FFT), Short-Time Fourier Transform (STFT), and average spectrum analysis to identify changes due to aging.

Ticket Age Prediction (Regression)

This project predicts how long IT support tickets will remain unresolved. It uses machine learning regression methods, like Random Forest and Gradient Boosting (GBM).