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Python Developer / Quantitative Analyst
Junior Data Scientist at Quadhill Capital who developed a quantitative analytics platform for financial market research.
MalaysiaPython Developer / Quantitative Analyst at Quadhill Capital Sdn Bhd
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.
PythonPandasSQLPostgreSQLTime Series AnalysisData PipelinesQuantitative AnalysisDjangoPlotlyREST APIs
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.
PythonComputer Vision
Graduated with a BSc (Hons) in Computer Science (Data Science) in June 2025, achieving a CGPA of 3.92/4.00 and Dean's Awards across seven semesters.
Graduated with a BSc (Hons) in Computer Science (Data Science) in June 2025, achieving a CGPA of 3.92/4.00 and Dean's Awards across seven semesters.
Completed Higher Secondary Certificate (HSC) with a GPA of 5.00/5.00.
Completed Secondary School Certificate (SSC) with a GPA of 5.00/5.00.
Completed a certification in Data Science and Machine Learning.
Completed a certification in Microsoft Power BI Complete Guide.
Completed a certification in Full Stack Web Development with Python, Django & React.
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.
PythonPandasTime Series AnalysisQuantitative AnalysisDjangoPostgreSQLYfinancePlotly
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.
PythonNLPscikit learnDjangoReactPostgreSQLDecision TreesModel Evaluation
Profile sourced from Himalayas.