Data Analytics

• Twice the engagement, from listening first

  Drove brand engagement and loyalty by 100% through market trend analysis and consumer behavior insights.

• A month of meter readings in 180 milliseconds

  Engineered hourly electricity consumption aggregation pipeline in Python / SQL / Bash + Jq, achieving 180ms for 30‑day datasets across heterogeneous JSONL sources.

• Built the company's first observability dashboard

  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 manuals

  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 reports

  Released 500 electricity and GIS data analysis reports, utilizing deep research and troubleshooting to ensure accurate geographic and time series big data insights.

• Ran 20 Docker apps on Google Cloud and AWS

  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

  Optimized forecasting and investment strategies for 11 electricity grid operators, driving operational efficiency through data‑driven GIS solutions.

• Presented 200 UI/UX improvements

  Presented 200 UI/UX improvements for the GIS map application, boosting revenue by 10x through enhanced software features.

• Saved 4,000 hours with GitHub and GitLab CI/CD

  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

  Developed a Data Analytics reporting system, increasing quarterly software revenue by 400% through Python‑based PDF reports.

• Delivered analysis and regular progress reports

  Delivered analysis and regular progress reports to the CEO, translating engineering KPIs and delivery status into decisions.

• Built first‑party analytics inside PostgreSQL

  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, Product Strategy & Requirements, Data Pipeline Development (ETL/ELT), Backend & API Development, Data Governance & Quality, DevOps & CI/CD Automation, GIS & Geospatial Solutions and Brand, Marketing & SEO.

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