CSE Graduate · Machine Learning · Data Analysis
Computer Science & Engineering graduate from Uttara University with a strong foundation in programming, data structures, machine learning, and data analysis. Passionate about applying technology to real-world challenges.
Worked on practical machine learning tasks, applying algorithms and techniques to analyze data and build predictive models. Gained hands-on experience implementing ML pipelines on real datasets.
Interactive Power BI dashboard analyzing Uber trip data — bookings, revenue, trip distance and duration, payment types, day vs night demand, and preferred vehicles by pickup location, with hourly and weekday peak-time analysis.
View on GitHub →Power BI data modeling project built on a star schema — linking sales transactions, revenue targets, and inventory through a shared date dimension. Includes row-level security for region-based access control and a custom sales performance dashboard.
View on GitHub →Privacy-preserving medical image classification using Federated Learning and Differential Privacy. Secure model training across decentralized datasets — no raw patient data shared. Presented at DDI Expo 2026.
View on GitHub →SQL-driven analysis of hotel booking data — exploring cancellation patterns, seasonal demand, and revenue drivers to inform pricing and occupancy strategy.
View on GitHub →Cleaned, transformed, and analyzed bike sales data using advanced Excel functions and pivot tables. Built an interactive dashboard to visualize sales trends, demographics, and regional performance.
View on GitHub →An end-to-end pipeline for processing and analyzing insurance-style claims data, combining data QA checks with structured analysis to surface data-quality issues and trends.
View on GitHub →Open to opportunities, collaborations, and interesting projects.