Looking for a job

Md Razaul Karim

@mdrazaulkarim

Junior Data Scientist at Quadhill Capital who developed a quantitative analytics platform for financial market research.

Malaysia

Message

What I'm looking for

I’m interested in experimentation, causal inference, customer acquisition, and using evidence-based analysis to inform sales and marketing decisions.

At Quadhill Capital Sdn Bhd, I analysed financial time-series data and developed quantitative strategies across cryptocurrency and financial markets. I also developed a centralised analytics platform and built applications for comparing strategies and visualising performance.

As a Research Assistant at Universiti Malaysia Perlis, I developed and evaluated an AI-based coral colour classification system using computer vision and machine learning. I compared model approaches using empirical performance metrics.

At UniSIRAJ, I developed an intelligent question-classification system and evaluated a Decision Tree model for Bloom’s Taxonomy classification. That research led to a published academic paper, and I’m interested in experimentation, causal inference, customer acquisition, and evidence-based sales and marketing decisions.

Experience

Work history, roles, and key accomplishments

Python Developer / Quantitative Analyst

Quadhill Capital Sdn Bhd

Jun 2025 - Jul 2026 (1 year 1 month)

Analysed large-scale financial time-series datasets using Python, Pandas, SQL, and PostgreSQL to identify patterns and support quantitative decision-making. Designed and automated data pipelines, developed quantitative strategies, and built analytical applications for crypto strategy comparison and performance tracking.

Python Pandas SQL PostgreSQL Time Series Analysis Data Pipelines Quantitative Analysis Django Plotly REST APIs

Research Assistant

Universiti Malaysia Perlis (UniMAP)

Jan 2026 - Jun 2026 (5 months)

Developed and evaluated an AI-based coral colour classification system using Python, computer vision, YOLOv8/YOLOv11, deep learning, and SVM. Designed comparative experiments across multiple ML/DL architectures and feature-extraction approaches using accuracy, precision, recall, and F1-score.

Python Computer Vision YOLOv8 YOLOv11 Deep Learning SVM Feature Engineering Model Evaluation

Quantitative Data Analyst Intern

Quadhill Capital Sdn Bhd

Feb 2025 - Jun 2025 (4 months)

Performed exploratory and quantitative analysis of stock, derivatives, and cryptocurrency datasets using Python, Pandas, and time-series methods. Developed and evaluated quantitative strategies and built a financial metrics analysis platform using Python, Django, PostgreSQL, Pandas, and yFinance.

Python Pandas Time Series Analysis Quantitative Analysis Django PostgreSQL Yfinance Plotly

Research Assistant

UniSIRAJ

Feb 2024 - Feb 2025 (1 year)

Developed an intelligent question-classification system using Python, NLP, Scikit-learn, Django, React.js, and PostgreSQL. Developed and evaluated a Decision Tree model for automated Bloom's Taxonomy classification and conducted empirical model evaluation.

Python NLP scikit learn Django React PostgreSQL Decision Trees Model Evaluation