DEXTER

I developed Project Dexter, an analytics platform during my tenure as a Fullstack Developer at Dukka (April 2022 - June 2023). It's a business intelligence dashboard built with React/Django that serves as a data analytics and visualization tool for small and medium enterprise (SME) merchants.

Key Features and Functionality

• Merchant Analytics Dashboard: I built a dashboard that visualizes key metrics for over 80,000 merchants using Dukka's platform
• Data Accuracy Improvement: I improved data accuracy by 40% through proper data modeling and React Query implementation
• User Retention Analysis: I identified features linked to approximately 60% customer attrition, directly informing critical product strategy pivots
• Business Intelligence: I extracted and analyzed customer, sales agent, and merchant data to visualize acquisition, activity, LTV (Lifetime Value), and churn patterns
• Referral System: I implemented a referral system component that contributed to acquiring 80,000+ merchants and 100+ sales agents
• Smart Data Aggregation: The application receives JSON data which I convert into a table, then aggregates signups by city. I handled unstructured city data through intelligent aliasing (e.g., recognizing that "Lagos Island", "Victoria Island", and "Surulari" are all part of Lagos)
• Performance Tracking: I built monitoring for signups, active users, and field agents engaging in the signup process
• Leaderboard: I created a simple computation that searches through filters for the highest performing referrer in the program
• Applicant Monitoring: I implemented a notification badge that leads to the applicants page, monitoring the number of applicants looking to get into the program
• Excel Export: I added a button that downloads an Excel file by converting the JSON data in the table using the XLSX library

Technical Implementation

• Frontend: React.js
• Backend: Django (Python)
• Architecture: I led the transition from monolithic codebase to microservices architecture
• Deployment: I implemented containerization with Docker for scalable deployments
• Database: PostgreSQL

Business Impact

• User Acquisition: I drove the acquisition of 80,000+ merchants and 100+ sales agents
• Data-Driven Decisions: I enabled data-driven business decisions for over 80,000 merchants
• Product Development: I accelerated product development cycles by identifying pain points through data insights
• User Engagement: I improved overall user engagement by 25%
• Customer Retention: I reduced customer churn through actionable insights
• New User Acquisition: I contributed to acquiring over 10,000 new users

Key Achievements

• I led frontend development of the analytics platform, visualizing key metrics for 80k+ merchants
• I improved data accuracy by 40% and enabled data-driven business decisions
• I developed Python scripts analyzing user retention, identifying a feature linked to ~60% customer attrition
• I led the transition from a monolithic codebase to a microservices architecture
• I implemented containerization with Docker for scalable deployments
• I built two new products using Django and React frameworks, reducing time-to-market by 30%