At Techknowgreen Solutions, I cleaned and analyzed large air-quality and health datasets for the SAFE IAQ platform, using Excel, SQL, Python, and statistical methods to produce reliable insights.
I built Power BI KPI dashboards for environmental monitoring, regional project allocations, operational pipelines, and financial performance. My dashboards supported real-time decision-making across parameters including PM2.5, CO₂, TVOC, temperature, and humidity.
I've automated SQL-based reporting workflows, developed a Python pipeline for scoring 28,000+ urban and rural regions in the MV5 project, and deployed AWS EC2/S3 monitoring for automated fault detection and activity tracking.
I also apply machine learning, web scraping, EDA, and statistical analysis—including Spearman correlation and Linear Mixed Effects Models—to turn complex data into practical reporting and research outcomes.
