Ph.D. in Computer Science with expertise in machine learning, data engineering, and biomedical analytics. Passionate about advancing bioinformatics and genomic research through data-driven methods.
Data scientist and researcher with deep expertise in machine learning, data engineering, and biomedical data analysis. My work spans from designing deep learning models for IoT security to building healthcare analytics platforms and implementing scalable data pipelines for financial institutions. I am currently working toward advancing bioinformatics and genomic research, with a focus on computational genomics, cancer biomarker discovery, and precision medicine.
Building Power BI solutions, optimising DAX measures, developing SQL/PySpark data pipelines, and improving data processing workflows for large-scale financial datasets.
Data cleaning, statistical modelling, forecasting, and cross-functional reporting. Delivered insights that supported operational decision-making across departments.
Teaching Database Systems, Cloud Computing, Networking, Operating Systems, IT Project Management, Algorithm Design, and Research Methods. Supervised master theses on IoT optimisation and leukemia detection using ML feature selection.
Implemented machine learning models, risk assessment frameworks, and end-to-end analytics solutions for business intelligence reporting.
Reviewer for Journal of Supercomputing and IEEE journals. Top Student Award, Islamic Azad University 2023.