Sajjad Hussain

Own end-to-end reporting for Rize, ADEK's flagship university-and-career-readiness program, architecting a data pipeline that aggregates and validates data from 15+ sources. Established data standards and mentoring protocols, reducing reconciliation effort by ~25% and improving report consistency.

Performed comprehensive sales data analysis across revenue, product performance, and customer behaviour, identifying key trends that shaped category strategy. Built and maintained a Power BI margin-analysis dashboard tracking key margin metrics, giving leadership daily/MTD/YTD visibility.

Built and maintained KPI dashboards tracking growth, conversion, budget, and target achievement for RAKEZ's Commercial Division, used directly by the CCO. Delivered comparative and gap analysis on enquiries and registrations, giving Sales, Marketing, and Business Development a shared decision-making tool.

Applied machine learning classifiers (ANN, SVM, k-NN, Decision Tree) to TCGA oral cancer and melanoma genomics datasets to identify methylation genes linked to cancer. Designed new ML-based approaches for predictive modelling, developing high-precision classifiers for classification and regression problems.

Authored a research thesis and manuscript on correlating features and popularity statistics of YouTube videos using machine learning techniques, published in Expert Systems with Applications. Developed research proposals for data analytics/ML projects and supported departmental seminars and conferences.

Internship focused on game development.

M.S. in Computer Engineering with a major in Advanced Data Analytics, completed in 2019.

B.S. in Computer Systems Engineering, completed in 2016.