Full-Stack & Data Optimization at Docent

Overview

🚀 Phase 1: Full Stack Developer (01/2024 - 04/2025)

• Cost & Dependency Reduction: Saved the company $11,000 annually by replicating the core features of a costly external SaaS tool directly into the internal back office, completely eliminating the third-party dependency.
• Revenue/Retention Improvement: Led the development and implementation of a feature on the mobile application that successfully improved user retention by 5%.
• Developer Efficiency: Created optimized API endpoints to streamline the deployment of external tools, resulting in a 20% quicker deployment process.
• Internal Tool Optimization: Enhanced the search functionality within key internal tools, delivering a 20% quicker search response time, saving staff an estimated 30 hours per person annually.

💻 Phase 2: Backend Developer (05/2023 - 11/2023)

• Database Management: Assumed responsibility for the full lifecycle of company databases, including creation, maintenance, and performance optimization.
• System Integration: Developed robust integration layers and connectors to seamlessly link external third-party tools with proprietary internal systems, significantly streamlining workflows across the business.
• Data Readiness: Conducted extensive data cleaning, structuring, and export preparation necessary to support complex integration projects and company-wide reporting initiatives.

📊 Phase 3: Data Analyst (02/2022 - 04/2023)

• Process Transformation & Automation: Led the data processing pipeline optimization, reducing the end-to-end delivery cycle from two weeks down to five days (a 66% time reduction) and automating steps from 11 down to 7. This also resulted in a 33% improvement in overall data processing times.
• Insights & Modeling: Leveraged established relational databases to create sophisticated data models, performing trend and anomaly detection to provide actionable insights presented directly to management and stakeholders.
• Cross-Team Problem Resolution: Acted as a key liaison to schematize and resolve complex data-related dependencies and communication issues between disparate technical and non-technical teams.