- GIS solutioning: Demonstrated expertise in developing and implementing GIS solutions to address complex spatial challenges, ensuring optimal utilization of geospatial data and technologies.- Quality control scripts: Developed and implemented robust quality control scripts to validate and verify data integrity, ensuring high accuracy and reliability of geospatial datasets.- Achieved process improvisation using best practices: Implemented best practices and leveraged Python programming… Show more - GIS solutioning: Demonstrated expertise in developing and implementing GIS solutions to address complex spatial challenges, ensuring optimal utilization of geospatial data and technologies.- Quality control scripts: Developed and implemented robust quality control scripts to validate and verify data integrity, ensuring high accuracy and reliability of geospatial datasets.- Achieved process improvisation using best practices: Implemented best practices and leveraged Python programming to automate repetitive tasks, resulting in significant time savings of 410 hours.- Performed proof of concept (POC) as part of a team: Collaborated with a team to successfully conduct proof of concept projects, showcasing the feasibility and e ectiveness of GIS solutions for specific business requirements. Engaged in fieldwork, collecting geospatial data firsthand to support accurate mapping and analysis, ensuring data accuracy, and enhancing decision-making processes.- Involved in customer demos: Participated in customer demonstrations, e ectively showcasing GIS capabilities and solutions, and providing valuable insights into how GIS can address their specific needs.Mentored 10+ individuals in GIS software within 4 months, resulting in team members becoming proficient in GIS software and completing projects on time, resulting in successful project delivery to the customer. Show less

- Led a project utilizing Machine Learning to detect docks across North America. Developed the project based on the use case of detecting building footprints using Mask RCNN.- Leveraged Mask RCNN to design a robust model capable of accurately detecting and measuring the area of docks using aerial imagery.- Expanded the scope of the project to include comprehensive calculations of dock areas and identification of their unique features and types.- Annotated and labelled dock locations… Show more - Led a project utilizing Machine Learning to detect docks across North America. Developed the project based on the use case of detecting building footprints using Mask RCNN.- Leveraged Mask RCNN to design a robust model capable of accurately detecting and measuring the area of docks using aerial imagery.- Expanded the scope of the project to include comprehensive calculations of dock areas and identification of their unique features and types.- Annotated and labelled dock locations in the Quincy region of North America.- Demonstrated leadership by overseeing and guiding a team of interns working on the machine learning project, ensuring successful project delivery and knowledge transfer. Show less

- Applied machine learning techniques to classify satellite imagery, enabling accurate and e cient analysis of geospatial data.- Created an interactive dashboard utilizing the Shiny framework in R to provide comprehensive data visualization and analysis.- Implemented 3D visualization capabilities for a web-based application, enhancing the user experience and enabling in-depth exploration of spatial data.- Part of the development of a new product focused on site suitability and… Show more - Applied machine learning techniques to classify satellite imagery, enabling accurate and e cient analysis of geospatial data.- Created an interactive dashboard utilizing the Shiny framework in R to provide comprehensive data visualization and analysis.- Implemented 3D visualization capabilities for a web-based application, enhancing the user experience and enabling in-depth exploration of spatial data.- Part of the development of a new product focused on site suitability and played role in supporting the GenRay product team. Show less

Master Dissertation: Visual Access To Error Detection Of Sharp Turns In Curvature Digitisation And Spatial Decision-Making Worked on location analytics using data science in order to detect errors and bring more efficiency in work.

- Fieldwork, which included GCP and Control points marking on the ground for aerial survey- Post-processing and feature extraction on Pix4D, Correlator 3D, Global Mapper and ArcGIS

Field work with providing reports and travelogues in the end