Data Analytics

• 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.
• Optimized forecasting and investment strategies for 11 electricity grid operators, driving operational efficiency through data‑driven GIS solutions.
• 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.
• Built first‑party product analytics in PostgreSQL — 47 functions over partitioned event tables that prune themselves — pseudonymised behind a rotating salt and gated on the visitor's consent.

This work is part of what we offer as Data Analytics & BI Dashboards, Data Pipeline Development (ETL/ELT), Product Strategy & Requirements, Backend & API Development, Data Governance & Quality, GIS & Geospatial Solutions, Brand, Marketing & SEO and Database Design & Modeling.

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