Md Razaul Karim | Data Scientist Portfolio

Professional Summary

A quick overview of my background and strengths

I specialize in data analysis, business analytics, and full-stack web development with strong skills in Python, SQL, Java, statistical modeling, Power BI, and Excel. I have hands-on experience in machine learning, deep learning, image processing, and classification with OpenCV. I enjoy building production-ready analytical platforms that combine robust data engineering with clear and actionable visual insights.

Technical Skills

Structured overview of technologies and professional toolsets

Programming Languages

Python, Java, JavaScript, SQL, R, C++ (Basic), PHP (Basic)

Databases & Data Engineering

PostgreSQL, MySQL, MS SQL Server, SQLite, REST API ingestion, ETL pipelines

Full-Stack Development

Frontend: HTML, CSS, Bootstrap, Tailwind CSS, React.js
Backend: Django (REST API), Flask, Firebase
Android: Android SDK, NFC integration, POS systems, secure payments, real-time processing

Machine Learning & Data Science

NumPy, Pandas, Polars, Scikit-learn, Matplotlib, Seaborn, Plotly, SpaCy, yfinance

Deep Learning & Computer Vision

TensorFlow, PyTorch, Keras, OpenCV, CNN-based image classification, YOLO/Faster R-CNN object detection, transfer learning (ResNet, MobileNet)

Analytics & Modeling

Power BI, Tableau, Excel, Weka, predictive and prescriptive modeling, model validation, pipeline development, GenAI prompt engineering

Cloud & DevOps

AWS (Basic), Cloudera, Git, GitHub Actions, Vercel, Netlify

PDF & Automation Tools

PyMuPDF (fitz), pdfplumber, PDFMiner.six, ReportLab, FPDF, PyPDF2

Systems & IT Support

Windows 10/11, Microsoft 365 Admin Center, Active Directory, AnyDesk, RustDesk, TeamViewer, basic hardware and network troubleshooting

Work Experience

Professional and research experience in analytics and engineering

Research Assistant | Universiti Malaysia Perlis (UniMAP)

January 2026 - Present | Perlis, Malaysia

Serving under a Ministry of Education Malaysia funded project, developing an automated machine learning system to classify hard and soft coral species from Coral Video Transect (CVT) imagery.

Built end-to-end coral classification framework to reduce human interpretation error.
Integrated deep-learning feature extraction, CLAHE enhancement, edge-based segmentation, and PCA.
Trained and evaluated SVM, Naive Bayes, and K-means models for robust marine biodiversity monitoring.

Quantitative Analyst | Quadhill Capital Sdn Bhd

June 23, 2025 - Present | Kuala Lumpur, Malaysia (Hybrid)

Focused on full-stack Django-React development for quantitative research and analytics platforms.

Built centralized PostgreSQL databases for large-scale time-series datasets with pipeline automation.
Created interactive strategy dashboards using React and Plotly for performance evaluation.
Delivered crypto strategy analysis and US stock data infrastructure for production workflows.

Quantitative Data Analyst Intern | Quadhill Capital Sdn Bhd

February 10, 2025 - June 20, 2025 | Kuala Lumpur, Malaysia

Collaborated with traders to develop and backtest Python-based quantitative strategies.

Developed RS Metrics Web App with Django, ReactJS, PostgreSQL, Pandas, and yFinance.
Built RRG Stock Visualization tool with Python, Pandas, and Plotly.
Implemented RS Return Percentile Engine using SciPy, yFinance, and Polygon.io.

Research & Development | UniSIRAJ

February 5, 2024 - February 3, 2025 | Malaysia

Built an intelligent question bank with NLP for Bloom's taxonomy classification.

Stack: Django, ReactJS, PostgreSQL, scikit-learn, and NLTK.
Deployed a working prototype for educators and authored a research paper.

Research & Publications

Research projects, papers, and academic output

Research & Development Projects

An Intelligent Question Bank System for Automated Difficulty Classification Based on Bloom's Taxonomy (Feb 2024 - Dec 2024)

Developed a full-stack system using Django, ReactJS, PostgreSQL, and an NLP pipeline with scikit-learn and NLTK. Trained a Decision Tree classifier to categorize questions aligned with Bloom's taxonomy and deployed a working prototype for educators.

Publications

Md Razaul Karim, Fatimah Noni Muhamad, Mohd Zaki Shahabuddin, Azhan Taqiyaddin Arizan, Noorkartina Mohamad, Siti Khalilah Basarud-din, Nurul Khofifah Abdullah, Nabilah Wafa' Mohd Najib, Naimah Abu Kassim (2025). An Intelligent Question Bank System for Automated Difficulty Classification Based on Bloom's Taxonomy. IJRISS, 9(29). DOI: 10.47772/IJRISS.2025.92900016 | Article Link
BARI, M. A., & KARIM, M. R. (2025). Leading Through Change: A Conceptual Model of AI Adoption, IoT, and Job Satisfaction in the Tourism Industry. Journal of AI & Immersive Marketing, 1(2). Article Link

Volunteer Experience

One Centre Malaysia (OCM) (Jul 2022 - Jul 2023) - Committee Member & Program Organizer. Organized Street Dawah and mosque open-house events, managed volunteers, and coordinated with speakers.