PROJECTS
Project 1: Sofa-So-Good Cloud Architecture
Sofa-so-good Cloud Architecture is a modern, cloud-based data architecture initiative designed to empower organizations with a scalable, secure, and agile data ecosystem. The architecture enables centralized data integration, streamlined processing, and advanced analytics capabilities. By leveraging cloud-native technologies, this solution ensures flexibility to adapt to evolving business needs, enhances operational efficiency, and supports data-informed decision-making across departments.
This architecture fosters a unified and reliable data foundation that delivers both real-time insights and long-term analytical capabilities. The ultimate goal is to cultivate a culture of data-driven innovation, positioning businesses to unlock the full strategic value of their data assets.
Project 2: FITFLEX Database Systems
FitFlex is an e-commerce platform focused on fitness-related products, including gym equipment, activewear, supplements, and accessories. To support its mission of delivering a seamless and personalized shopping experience, FitFlex is developing a robust, data-driven database system.
The proposed FitFlex Database System is designed to streamline data management, enhance operational efficiency, and support strategic business decisions. This system will enable accurate record-keeping, improve business intelligence, and facilitate real-time and historical data analysis. With a well-structured database, FitFlex aims to enhance customer experience through personalized recommendations, effective order tracking, and responsive support. By leveraging its data assets, FitFlex will empower informed decision-making across departments, ultimately driving optimized business operations and sustainable growth.
Project 3: Netflix User Data Analysis
This project explores user engagement and content consumption patterns on Netflix using a synthetic open-source dataset from Kaggle. With Netflix's global reach and a diverse library serving 283 million users in over 190 countries, the analysis aims to uncover viewer preferences and demographic trends.
The dataset simulates real-world user data, making it ideal for generating insights into strategic content planning and user behavior through interactive visualizations.This project analyzes a synthetic Netflix user dataset to uncover content preferences and viewing trends across demographics. The insights support strategic decisions in content planning and user engagement.
Project 4: Food Delivery Dashboard
An interactive dashboard designed to optimize food delivery operations. It tracks key metrics like revenue, order volume, and driver performance, identifies peak business hours, and analyzes discount and pricing impact. Built for real-time insights and strategic decision-making to improve efficiency and profitability.
🚀 Key Features
-> Performance Tracking: Monitor revenue, orders, and top drivers.
-> Peak Hour Insights: Identify high-demand time windows.
-> Revenue Optimization: Analyze impact of discounts and pricing.
-> Driver Efficiency: Track driver performance and utilization.
Project 5: Cananda's Immigration Dashboard
An interactive dashboard analyzing Canadian immigration trends from 2015 to 2025. It covers immigration volumes, program categories, demographic breakdowns, and top source countries. Built to support data-driven policy and research using Power BI and Python.
🔍 Features
-> Yearly immigration trends and YoY changes
-> Program-wise immigrant distribution (e.g., Skilled Worker, PNP)
-> Gender and age group analysis
-> Top countries of citizenship