Hitarth Shah

• Built and maintained automated data pipelines using Python and PostgreSQL to process multi-source financial data, improving data reliability and reducing manual reporting effort by 80%.
• Automated data ingestion and storage workflows using AWS S3, ensuring secure, consistent access to analytics-ready datasets.
• Supported scalable data processing by deploying and monitoring workloads on AWS EC2, improving data availability for downstream reporting.
• Collaborated with cross-functional teams using GitHub and JIRA to deliver analytics solutions faster, reducing project turnaround time by 7 days.

• Managed IT operations and incident resolution using ServiceNow, improving user satisfaction by 90%.
• Collaborated on network troubleshooting, reducing system downtime by 97% and ensuring stability.

• Analyzed large-scale geospatial datasets combining user behavior and environmental data to support product and business decision-making.
• Used Python (GeoPandas) to clean, preprocess, and transform spatial data for route optimization and mapping analysis.
• Built interactive geospatial visualizations to identify high-traffic trail regions, enabling data-driven recommendations for targeted product feature enhancements.

• Developed fraud detection and churn prediction models with XGBoost and Decision Trees, achieving 94% accuracy.
• Managed source code and experiments through GitHub, ensuring reproducibility and collaboration across the ML team.
• Conducted statistical analysis to identify high-value customer segments, enabling targeted marketing campaigns.
• Designed interactive Power BI dashboards, translating complex datasets into key insights that drove to 91% reduction in customer complaints for stakeholders.