Santhosh M

Experience

• 

  CCCL India Ltd

  Sept 2017 - May 2018

  Assistant Engineer

  - I joined in Hyderabad region under the planning department and worked for client Reliance Prolific Traders.- Undertaken Planning activities and also was in charge of preparing Quantity-based subcontractors bills in ERP.- Determined budget, manpower, schedule, and material needed to successfully execute projects.

• 

  HOCHTIEF

  Mar 2019 - Sept 2019

  - Used CAD tools to design, develop and engineer high-quality models.- Interacted with architects and clients to obtain critical design information necessary to complete projects within the intended time frames.- Collected and reviewed engineering data to assess needs and recommend solutions.- Worked in UK projects to produce contractors detailing of civil structures Learned about Design and Modelling of Buildings, using software such as Autocad 2018, Revit and Microstation.

  • Design Engineer

    Jun 2019 - Sept 2019

  • Design Engineer

    Mar 2019 - May 2019
• 

  College of Engineering, Guindy

  Oct 2019 - Apr 2021

  As a mediator between companies and batch mates to conduct placement sessions for our department. Ensure all the Interview process goes smooth and hassle-free. Monitoring and Evaluation of Watershed structures using Google Earth and Bhuvan Geo-Platform

  • Placement Coordinator

    May 2020 - Apr 2021

  • Project Assistant

    Oct 2019 - Apr 2021
• 

  Nanyang Technological University Singapore

  Jun 2020 - Jul 2020

  Research Intern

  - Was part of a research team predicting and modelling urban growth for a city in New Zealand. - Learned about Regression analysis. - Collected data for the modelling of urban growth, for study area Porirua. - Made Porirua city Land use land-cover map by supervised classification. - Developed QGIS expressions and model's to process voluminous of data in batches. - Used satellite images to derive meaningful insights for the research team. - wrote technical reports.

• 

  Spatial Thoughts

  Sept 2020 - Jul 2022

  - Train participants in QGIS, Google Earth Engine, and Python.- Resource person for the ACIWRM Training (End to End Earth Engine, GEE for Water resourceManagement, Advanced QGIS held in 2021).- Contributor at www.qgistutorials.com/en/docs/introduction.html- Create new courses and, workbooks as learning resources. - Guide participants in live online work-shop. - Handled 1-1 doubt clarification session for Google Earth Engine, Python for spatial analysis courses. - Create new course, exercise, workbook, and assignments as learning resources.- Contributor at www.qgistutorials.com/en/docs/introduction.html

  • Assistant Trainer

    May 2021 - Jul 2022

  • Training Associate

    Sept 2020 - Apr 2021
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  Blue Sky Analytics

  Jul 2022 - Sept 2023

  Data Scientist

  - Managed geospatial data generation and developed solutions using satellite data, by performing research, data collection, analysis, and dataset consolidation.- Product Owner and developer of the annual canopy height dataset using machine learning techniques for the Above Ground Biomass Project. Successfully addressed challenges related to sparse data availability and irregular time intervals in open LiDAR measurements.- Worked on Deep Learning methodology for asset monitoring.

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  Let's Talk Spatial

  Jul 2022 - now

  Co-Founder
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  RMSI

  Nov 2023 - now

  Technical Specialist

  - Working at the client office of the "National Center for Vegetation Cover" on a secondment (deputation).- Constructing automated pipelines to monitor vegetation growth using remote sensing data.- Building workflows to use very high-resolution drone images for tree count and health monitoring. - Technology consultant specializing in Remote Sensing, Machine Learning, and Data Science.