Rabbani Haroon

I’m a results-oriented Data Analyst with 8+ years delivering actionable insights through automated analytics and visualizations. I translate complex environmental and operational data into strategic decisions using Python, SQL, and Power BI—always with an accuracy-and-impact mindset.

In my independent practice, I built Python-based ETL pipelines for multi-source data, cutting preparation time from 6 weeks to 23 days (95% reduction) while raising accuracy to 99.7%. I also designed Power BI carbon-emissions dashboards that uncovered $800K carbon-credit opportunities and drove 23% supply-chain emissions reduction, and I standardized GHG Protocol methodologies to achieve zero audit findings while developing 50+ scenario models.

At Ethisol, I led agricultural emissions meta-analysis across 12 studies by building a custom Python/WebPlotDigitizer extraction workflow supported by Google Sheets. I engineered automated Python validation for water quality monitoring, reducing errors from 15% to <2%, digitized a 20 km river dataset, and flagged pollution hotspots exceeding legal limits by 40–60% to support enforcement; I also delivered ESG/carbon KPI dashboards for multiple SMEs.

Previously at Sarhad Rural Support Programme (SRSP), I created a centralized database integrating scattered field data across agriculture, education, and health programs, helping lift overall program success by 45% and reducing data errors from 20% to <5%. I automated Power BI donor reporting to reduce the quarterly cycle from 2–3 weeks to 2–3 days with real-time visibility into household reach and economic impact—consistently turning messy data into decision-ready reporting.