A passionate Data Science and Data Engineering professional with a keen interest in Machine Learning. Skilled in analyzing big data, developing predictive model
Android passwordless authentication app using Email + OTP with session tracking. Built with Kotlin, Jetpack Compose, MVVM architecture, and Timber logging.
Expense Tracker ๐ฐ is a beautiful, cross-platform mobile application designed specifically for university students to track their finances. Built with Flutter, it features a modern, offline-first architecture that ensures seamless access to data even without an internet connection.
This project demonstrates end-to-end SQL-driven analytics and BI reporting for business KPIs: revenue, conversion rate, product performance, and operational metrics. It is aligned with the Kapitus Data Analytics Intern job profile (see JD: /mnt/data/Data Analytics Intern JD.pdf).
Analyze user events (view โ add_to_cart โ purchase) to compute funnel conversion rates at product and category levels. Identify low-performing SKUs and provide actionable root-cause recommendations. This project is aligned with the Kapitus JD (see /mnt/data/Data Analytics Intern JD.pdf).