Bridging technical execution, analytics, and business operations.
I am a Computer Science student (Data Analytics) with 10+ years of leadership and retail operations experience. I build tools and analyses that reduce friction, clarify data, and support better decisions.
- Technical Portfolio – Curated projects in analytics, software development, and operations-minded problem solving.
- Academic Portfolio – Coursework, class projects, and technical artifacts from my Computer Science program.
Python | Modular Architecture | Game Logic
- Developed a modular, state-driven command-line engine.
- Business value: Demonstrates object-oriented design and scalable, maintainable code organization.
C++ | Data Structures | File I/O
- Analyzes grocery transaction data to track item frequency and optimize inventory visibility.
- Business value: Directly mirrors retail inventory management logic, focusing on data integrity and computational efficiency.
- Breaking Games E-Commerce Externship: Currently completing an 8-week externship focused on e-commerce analytics, digital marketing data, and conversion optimization.
- Focus Areas: Data analytics, Python/SQL optimization, process improvement, and decision-ready reporting.
- Process Improvement: Analyzing workflows to remove bottlenecks.
- KPI Analysis: Translating raw data into "decision-ready" reporting.
- Strategic Communication: Translating complex technical concepts for non-technical stakeholders.
- Precision over Volume: Clean, readable code is a business asset; technical debt is a liability.
- Actionable Insight: Data only matters when it supports a decision.
- Continuous Iteration: Moving from "functional" to "optimized" through relentless testing.
