Data Analytics
11 Achievements
- Drove brand engagement and loyalty by 100% through market trend analysis and consumer behavior insights.
- Engineered hourly electricity consumption aggregation pipeline in Python / SQL / Bash + Jq, achieving 180ms for 30‑day datasets across heterogeneous JSONL sources.
- Developed and launched the company's first observability dashboard, providing real‑time system performance insights and data visualization on the large office TV.
- Delivered 8 Power BI projects with comprehensive manuals, integrating Microsoft Power BI tools with NodeJS API and Python FastAPI for effective data analytics and visualization.
- Released 500 electricity and GIS data analysis reports, utilizing deep research and troubleshooting to ensure accurate geographic and time series big data insights.
- Deployed and maintained 20 Docker containerized applications, troubleshooting with Podman and Kubernetes, and managing R‑based apps on Google Cloud and AWS.
- Optimized forecasting and investment strategies for 11 electricity grid operators, driving operational efficiency through data‑driven GIS solutions.
- Presented 200 UI/UX improvements for the GIS map application, boosting revenue by 10x through enhanced software features.
- Streamlined data analysis and software development processes, saving 4,000 hours by introducing GitHub, GitLab, Bash, and Python CI/CD practices.
- Developed a Data Analytics reporting system, increasing quarterly software revenue by 400% through Python‑based PDF reports.
- Delivered analysis and regular progress reports to the CEO, translating engineering metrics and delivery status into decisions.