Technical Data Analyst & Electronics Engineering Student specializing in bridging hardware logic, data pipelines, and interactive business intelligence.
- What it does: Analyzed 96,478 e-commerce orders using SQL and Python (Pandas/Plotly) to uncover revenue drivers and delivery performance gaps, then deployed a live interactive Streamlit application for business user discovery.
- Tech Stack: Python, SQL, Streamlit, Plotly, Pandas.
- Languages & Frameworks: Python (Pandas, Streamlit, FastAPI), SQL (Google BigQuery, PostgreSQL)
- Tools & Analytics: Power BI, Microsoft Excel, Git/GitHub, Docker
- Core Domains: Data Analysis, IoT Telemetry, Data Annotation & Quality Control (2D/3D LiDAR)
- ecommerce-sql-python-analysis: The data cleaning and foundational analysis behind the live Streamlit dashboard.
- qsr-operations-and-fraud-detection: Power BI dashboard and Python script analyzing franchise operations and POS fraud detection.
- asos-inventory-optimization: Business-focused retail inventory analysis.
- Location: Cagayan de Oro City, Philippines
- Role Focus: Part-time / Freelance / Data Gigs (Available 40 hours/week)
- Education: BS Electronics Engineering, USTP (Expected Graduation: June 2027)