saman imran

Developed and maintained client-facing web application features while collaborating with a small team to deliver on schedule. Debugged and optimized front-end code to improve page reliability and reduce reported UI issues.

Translated ambiguous business problems into structured data science tasks, performing EDA and data cleaning. Engineered predictive features, evaluated model performance, and communicated insights from campaign performance analysis to support decision-making.

Completed batch data labeling tasks with strict awareness of personally identifiable information (PII). Implemented quality control checks and iterative reviews to ensure labeling accuracy.

Conducted exploratory data analysis and risk profiling on financial datasets to support collections strategy. Built AI-driven predictive models for delinquency rate estimation and produced decision-ready visualizations and business reports.

Prepared retail transaction data for customer analytics to generate commercial insights. Designed and evaluated uplift testing experiments and applied analytical techniques to guide strategy.

Performed comprehensive data analysis to address business challenges within a forensic technology framework. Synthesized findings into structured recommendations aligned with client objectives.

Applied predictive modeling to analyze lounge eligibility trends at Heathrow Terminal 3. Built models to predict customer buying behavior using historical booking and purchase data.

Aggregated and analyzed customer datasets to extract actionable insights. Applied data anonymisation techniques to protect privacy while preserving analytical value and proposed data approaches and efficient database structures.

Pursuing a Bachelor of Science in Computer Science at Air University – NASTP Institute of Information Technology (Oct 2024–Sep 2028, expected).