prathvi bhatti

Partnered with government and enterprise stakeholders to identify business challenges and define digital transformation roadmaps aligned to geospatial solutions. Drove consultative solution selling, delivered executive presentations/demos and PoCs, and developed solution strategies, technical proposals, and BOQs for large government and enterprise opportunities.

Contributed to the PM Gati Shakti – Gujarat initiative by enabling cross-departmental coordination and streamlining multi-modal infrastructure approval workflows. Developed user guides and operational documentation, managed program artifacts (SOPs, workflows, and executive materials), analyzed operational/spatial data for management reporting, and served as a liaison to support NOC approval process improvements.

Partnered with government and enterprise clients to define solution strategies and drive adoption of geospatial and AI-powered technologies. Led PoCs, solution architectures, and proposals, and delivered executive workshops and webinars to support customer digital transformation.

Designed and delivered PoCs for defense and government organizations using real-world datasets. Advised clients on adopting enterprise geospatial technologies and applied machine learning and computer vision to support satellite imagery analytics.

Promoted adoption of geospatial technologies by engaging academic institutions, faculty, and industry stakeholders. Delivered webinars, workshops, and training programs, and supported specialized sessions in collaboration with AIIE.

Worked with clients to design AI-driven geospatial solutions and support GeoAI adoption. Developed and demonstrated machine learning and deep learning solutions for image analytics, including object detection and feature extraction.

Performed geospatial analytics and predictive/spatial statistical analysis to generate actionable insights. Developed geospatial models and applied GeoAI and advanced analytics to improve efficiency and scalability of geospatial workflows.

Designed and developed POLSIC, an open-source SAR polarimetric signature calculator for generating and visualizing co-polarized and cross-polarized signatures from radar imagery. Implemented Stokes Matrix-based mathematical models to compute scattering responses and enabled automated 3D signature plotting and analysis for urban and non-urban feature studies.

Developed an Explainable AI framework to improve transparency and trust in AI-driven waste classification. Evaluated and optimized multiple AI models using explainability, calibration, and uncertainty analysis to support practical deployment and informed decision-making.

Activities and societies: Worked with Python, TensorFlow, Keras, and Scikit-learn; completed capstone projects and case studies applying AI in healthcare and finance.

Gained hands-on experience in deep learning, NLP, computer vision, time-series forecasting, and reinforcement learning, using Python-based ML tools. Completed capstone projects and domain case studies in healthcare and finance to build and deploy AI models in a business-driven context.

Activities and societies: Student assistant for the 8th Meeting of the Subject Expert Committee (SEC) on Engineering and Technology under the Women Scientists Scheme (DST, Government of India), hosted at CEPT in July 2019.

Completed a Master of Technology (MTech) in the Geomatics program with a focus on geospatial technologies, remote sensing, GIS, and data analysis for urban and environmental applications.

Grade: CGPA 8.35/10

Activities and societies: 1st rank in poster presentation, 2nd rank in paper presentation, and organized multiple events related to social and environmental awareness.

Graduated with a Bachelor’s degree in Civil Engineering, achieving a CGPA of 8.35/10 and recognized for excellence in various technical events.