Breast Cancer Prediction System
HoverNet-based deep learning system for nuclei segmentation and classification in histopathology images.
A passionate programmer and data specialist. Skilled in extracting insights from complex datasets using Python, R, and SQL, while building responsive web applications.
Hello, I'm Muhammad Naqiudin, a dedicated Data Scientist, Data Analyst, and Web Developer with a strong background in a Degree of Computer Science (Data Science) with Honours from the National University of Malaysia (UKM).
I specialize in extracting insights from complex datasets using Python, R, and SQL, while leveraging data visualization tools like Tableau and Power BI to present actionable findings. In addition to my analytical skills, I have experience in building responsive web applications using HTML, CSS, JavaScript, and modern frameworks. I am passionate about continuous learning and excited to combine my expertise in data science and web development to drive impactful projects.
CGPA: 3.70 | First Class
CGPA: 3.46
SPM: 5A 2B 2C
Maintaining enterprise engineering database systems, performing PL/SQL data operations, designing ETL workflows, managing software releases via Jenkins, and enhancing backend/frontend features using C#.
Developed machine learning models using XGBoost for food wastage prediction. Gained hands-on experience on Google Cloud Platform (GCP) for data tracking and workflow monitoring.
Cleaned and preprocessed thousands of records, developed ML models (Random Forest, LSTM) for internet speed prediction achieving 80%+ accuracy, created Power BI dashboards, and automated data tasks using Selenium.
Customer service and operations in a fast-paced environment.
Python
Java
JavaScript
TypeScript
SQL
PHP
R
C++
C#
VB.NET
HTML
CSS
React
Angular
jQuery
Bootstrap
Django
Flask
XAMPP
phpMyAdmin
Scikit-Learn
TensorFlow
PyTorch
YOLOv8
OpenCV
Pandas
NumPy
Seaborn
Matplotlib
Power BI
Hadoop
Anaconda
LabelImg
Roboflow
Excel
XML
JSON
MariaDB
OracleDB
Azure
Git
Linux
VS Code
Jupyter
Jira
Selenium
VS 2019
Anaconda
Photoshop
Figma
Blender
Canva
Sheets
MS Word
PowerPoint
English
Bahasa Melayu
IndonesiaA showcase of my work across data science, AI, and web development.
HoverNet-based deep learning system for nuclei segmentation and classification in histopathology images.
Web-based catalog system with admin management, user roles, and invoice generation.
Classified tweet sentiments using Logistic Regression, Naive Bayes, and SVM models.
Responsive and interactive portfolio website built with HTML, CSS, and JavaScript.
VB.NET desktop application with Access and MySQL for product and order management.
Customer segmentation analysis using K-Means clustering on mall customer data.
Real-time face mask detection with YOLOv8 and OpenCV, deployed via Flask web app.
Authentication and product management system built with Angular 18 and RESTful APIs.
I'm currently looking for new opportunities. Feel free to reach out!
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