Data Scientist

Project Website: ML and Dashboard Website, Github Repo

Technical Skills: Python (Tensorflow/Scikit-Learn(Machine Learning), Flask/Dash (Web Development), Pandas (Data Preparation), Database (MySQL, MongoDB), AWS, Power BI, GIT, Command Line

Education

• Ph.D., Computer Science | International Islamic University Malaysia (Expected-2027)
• M.S., Business Intelligence & Analytics | International Islamic University Malaysia (August 2023)
• M.B.B.S, Medicine & Surgery | International Islamic University Malaysia (December 2021)

Certificate

• AWS Certified Cloud Practitioner-CLF-C02 (2023)

Work Experience

Data Scientist - MyDocLab (November 2023 - Present)

• Entity-Relationship Diagram (ERD) and collaborating on the integration of healthcare data from the MyDocLab app.
• Designed and implemented a dynamic healthcare data visualization website using Flask, Dash, and Plotly, leveraging MySQL as the backend database.
• Led the development and deployment of predictive models tailored for myeloproliferative neoplasm datasets, as part of a research grant
• Utilize Lambda functions and JavaScript within AWS to implement antivirus solutions for S3 buckets, ensuring robust security measures and facilitating efficient threat detection and mitigation.

Data Analyst Intern - Lazada Malaysia (March 2023 - August 2023)

• Collaborated with cross-regional teams to define data requirements and develop SQL queries that aligned with business needs, resulting in streamlined data retrieval processes.
• Conducted in-depth data analysis using advanced SQL techniques and data visualization tools to uncover patterns and trends related to Fraud sellers. Identified key metrics to predict potential Fraud Sellers, contributing valuable insights to Data Scientists for further investigation.

Freelance Projects

Klinik Kesihatan (Alor Gajah District) , Remote— Data Analyst (April 2024)

• Analyze thalassemia cases using GIS tools like GeoJSON and Plotly, creating interactive visualizations to highlight epidemiological patterns within school populations. These insights inform strategic interventions and healthcare resource allocation.

Klinik Kesihatan (Alor Gajah District) , Remote— Data Analyst (June 2020 - February 2021)

• Analyze thalassemia cases using GIS tools like GeoJSON and Plotly, creating interactive visualizations to highlight epidemiological patterns within school populations. These insights inform strategic interventions and healthcare resource allocation.

Publications/Thesis

Data Mining Approaches and Racial (Algorithmic) Bias in Healthcare for Hypertension And Hyperlipidemia

• This study employs machine learning models (including Random Forest, Logistic Regression, XGBoost etc.) for the correlations and predictive modeling of hypertension and hyperlipidemia using the NHANES dataset. The analysis reveals noteworthy associations with various conditions such as prescription medication use, hyperlipidemia, difficulty stooping, diabetes, and arthritis. The models were implemented using Python (Scikit-learn), emphasizing the study's reliance on advanced computational techniques to gain insights into these health conditions.

Ethics of Digital Health from an Islamic Perspective

Publication

• Promotes digital health to hold a great potential in improving healthcare, but ethical concerns, including privacy breaches and the risk of biases, emphasize the need for responsible technology use. An Islamic ethical framework is required to guide the development and application of digital health technologies to ensure moral righteousness and community well-being.