Jun 2022 – Mar 2026 · 3 yrs 9 mos · Kolkata · Hybrid

• 1. Directed pilot-scale geospatial projects for U.S.-based urban utility and
• infrastructure planning, evaluating project feasibility and potential
• developmental outcomes.
• 2. Spearheaded landscape and irrigation planning initiatives, ensuring spatial
• data accuracy for large-scale construction site layouts.
• 3. Collaborated with cross-functional teams to establish project guidelines and
• deliverables, focusing on timely data integrity for planning phases.
• 4. Documented methodologies and insights to refine spatial planning
• workflows, iterating approaches based on stakeholder feedback.
• 5. Mentored a technical team to enhance their proficiency in GIS software,
• fostering a high-standard production environment.

May 2021 – Jun 2022 · 1 yr 1 mo · New Delhi, Delhi, India · Remote

• Responsibility: Quality Control and Production.
• Residencial live property.(Quality control in residential live property attributes such as Lawn, Bed, and Driveway using web anotation tool. )
• Experience in Land cover feature extraction such as Building, Driveway, Parking area, Lawn, Beds, Sidewalk. Building footprints, Height measurements and roof types.

Jan 2020 – Mar 2021 · 1 yr 2 mos · Kolkata · On-site

• Maintaining Land Record and Cadastral mapping using GIS tools and techniques.

Apr 2019 – Jun 2019 · 2 mos · Kolkata, West Bengal, India · On-site

• "Land use Land cover change detection using Geospatial Techniques: Case study of Jabalpur District, Madhya Pradesh."
• Detail Descriptions:
• Methodology for the Study:
• Data Collection: Obtain satellite imagery from 3 different time periods (Year 2000, 2010 & 2019) for Jabalpur District, Madhya Pradesh, covering 19 years.
• Preprocessing: Preprocess the satellite images to correct for atmospheric and radiometric distortions.
• Land Use Land Cover Classification: Use Unsupervised classification techniques to categorize the land use , land cover types into classes (e.g., forest, agriculture, urban, water bodies, barren field).
• Change Detection: Apply change detection methods, such as post-classification comparison, image differencing, or NDVI, NDWI differencing, to identify areas of change between the mentioned time periods.
• Accuracy Assessment: Validate the classification accuracy and change detection results using ground-truth data and accuracy assessment techniques.
• Potential Findings:
• Urban Expansion: A significant increase in urban areas, indicating urbanization and population growth in Jabalpur District.
• Agricultural Expansion: Expansion of agricultural lands or changes in crop patterns, possibly due to changes in farming practices or agricultural policies.
• Deforestation and Forest Degradation: Detection of forest cover loss due to deforestation, logging, or other anthropogenic activities.
• Land Use Conversion: Conversion of natural or agricultural land to built-up areas, resulting in loss of green spaces and ecosystem services.
• Water Body Changes: Alterations in water bodies, such as shrinking lakes or river encroachments, due to human activities or natural factors like climate change.
• Land Degradation: Identification of areas experiencing land degradation, which may include soil erosion, desertification, or land abandonment.