Zeeshan Shaikh

• Excel in digitizing linear features from satellite and LiDAR data, ensuring precision through rigorous QA/QC processes and expert LiDAR quality control using tools like LAS Tools and Global Mapper, aligning with GIS database design and data manipulation standards
• Experienced in LiDAR quality control, utilizing tools like LAS Tools and Global Mapper to inspect and correct datasets for accuracy, contributing to accurate survey plans and high-quality map creation
• Expertise includes integrating emerging GIS technologies, ensuring high-quality outputs through rigorous
• QA/QC processes, and creating detailed documentation and metadata for data dissemination and GIS application development.

• O Achieved rapid data acquisition within one day, delivering project scope requirements a month ahead of schedule, while ensuring accurate data conversion, analysis, and manipulation for GIS applications.

o Created a mobile mapping app for real-time data collection and dynamic dashboards, enabling EMS teams to identify hazardous gas leaks, and developed applications through ArcGIS Online to streamline GIS workflows.

o Utilized NDVI image processing for land classification, hazard risk assessment, and spatial analysis, contributing to efficient data dissemination and documentation.Oli>o Developed a Python script for downloading real-time weather data, and a 3D model for visualizing wind direction and speed, supporting data analysis and GIS application development.o Created mobile mapping applications integrating survey forms, field maps, and dynamic dashboards, improving real-time data collection and enhancing map production for field surveys.

• Analyzed impact of economic factors on NCAA success using GIS, focusing on State GDP, Student Funding
• Population, Student Obesity, and Obesity Rates, and contributed to spatial analysis and data-driven decision- making
• Led GIS project examining economic factors influencing NCAA Division 1 Basketball success, utilizing spatial analysis and geospatial data to uncover significant correlations and hotspots
• Employed hotspot cluster analysis and GIS tools for analyzing spatial patterns in economic indicators, contributing to resource allocation strategies in sports management
• Found spatial patterns and correlations between economic data and athletic achievement, enhancing decision-making processes for policymakers and highlighting GIS proficiency in data manipulation and analysis
• Results supported strategic decision-making by providing insights into relationship between economic factors and athletic success, showcasing GIS analytical skills and data visualization expertise.