Ahnaf Rahman
Data Analytics | Bioinformatics | UX Design
M.S. in Bioinformatics with a diverse background spanning data analysis, machine learning, and UX design. I specialize in building end-to-end data pipelines, predictive models, and intuitive user interfaces that transform complex datasets into actionable insights. Experienced in Python, R, SQL, and full-stack development.
Experience & Education
Education
Data Analyst Research Assistant
Nova Southeastern University
- Mined and analyzed large datasets (50,000+ observations) using Python and specialized tools.
- Developed automated data pipelines using Nextflow and Docker, reducing processing time.
- Performed data quality control, preprocessing, and validation to ensure data integrity.
- Generated actionable insights through statistical analysis including PCA clustering and diversity metrics.
Pharmacy Technician
Publix Pharmacy
- Managed high-volume data entry and validation for 500+ daily transactions with 99.9% accuracy.
- Utilized database management systems for inventory tracking, patient profiles, and insurance verification.
- Thrived in a fast-paced operational environment requiring strict adherence to quality standards.
Selected Works
Clinical Data Analytics Dashboard
Architected a high-dimensional clinical data model in Firestore and a Tailwind CSS dashboard. Integrated LLM-driven analytics (Gemini) to risk-stratify patients and visualize adherence trends.
BioScribe Research Platform
Led UX design and development for a research writing platform serving 100+ users. Features AI writing assistants, PubMed integration, and a citation generator.
HR Analytics Data Pipeline
Engineered a scalable ELT pipeline using dbt and Snowflake to transform raw HR data into BI dashboards, tracking metrics like attrition and compensation.
Breast Cancer Diagnostic ML
Developed predictive models using Random Forest, XGBoost, and SVM achieving 92% accuracy. Performed rigorous feature engineering and hyperparameter tuning.
Medication Management System
Designed a normalized MySQL relational schema and a Python (Qt) GUI for personalized medication management, including automated drug interaction checking.
SciClarify Article Reader
Built a scientific article reader with AI-powered contextual definitions and session-based word libraries to improve reading comprehension speed.
Differential Expression and Enrichment Analysis: NASH vs HC
This analysis performs comprehensive differential expression and functional enrichment analysis comparing Non-Alcoholic Steatohepatitis (NASH) samples to healthy controls using microarray data from GSE89632. The study identifies key transcriptomic alterations and biological pathways involved in NASH pathogenesis.
Let's build something extraordinary.
I'm currently looking for new opportunities. Whether you have a question about my research, data analysis, or just want to say hi, my inbox is always open.
Email Me
[email protected]