RAHUL RATUSARIA

Engineered a Python-based dynamic survey dashboard, accelerating project timelines by 33% and significantly reducing operational costs for government-level analysis.

Automated reporting workflows using VBA and Python, achieving an 80% reduction in manual effort and elevating data accuracy for critical decision-making.

Designed and deployed interactive Power BI and Excel dashboards alongside QGIS-based geospatial maps, providing stakeholders with real-time, region-specific data insights.

Collaborated cross-functionally with leadership and tech teams to inform client strategies, delivering real-time, impactful analyses from field and call center data through seamless dashboard deployment.

Directed multi-state survey projects, performing in-depth data analysis and client performance tracking to formulate strategic recommendations that enhanced client success.

Spearheaded the Meghalaya project, successfully establishing a new state presence and contributing to a notable 12% increase in vote share.

Optimized equipment maintenance scheduling and labor allocation using historical data, contributing to a $300 million reduction in operational costs for the Reliability and Maintenance team.

Developed and deployed Amazon QuickSight dashboards, providing real-time insights for proactive maintenance cost management.

Ensured high data accuracy for critical analyses by crafting complex SQL queries to extract and manage large, condition-specific datasets.

Utilized Python for advanced data cleaning and manipulation, significantly enhancing dataset quality and the accuracy of subsequent analyses.

Authored comprehensive project documentation, detailing processes, methodologies, and outcomes to ensure knowledge transfer and long-term accessibility.