About me, (i.e. "How I became Autodidact Freelance Spatial Data Scientist)

I was a construction industry expert with having a two Higher National Diploma in Quantity Surveying and Building Economics as well as in Advance Diploma in Construction Technology. I have a double major B.Sc (Hons) in Quantity Surveying and Project Management with First Class Honors and a MBA in General Business Administration where those are more or less towards Built Environment, Construction Industry, Construction Project Management and Business Administration.

Had worked in the construction industry for 10 years from 2009 to 2019. I am more specialized in constructions and structures done in extremely steep slopes and extremely hard to construct locations.

With the next achievement M.Sc in Water Resources Management and the effects of Covid 19 pandemic with a thirst of knowledge I changed my carrier path to Spatial Data Science with GIS, Remote Sensing, GNSS and Machine Learning, Deep Learning with the use of Cloud Computing as an Interdisciplinary Researcher.

Thus, now I am an "Autodidact Freelance Independent Researcher" in "Spatial Data Science" with knowledge in applications of Data Science, Machine Learning, Deep Learning, Applied Statics, GNSS, GIS and Remote Sensing.

As I mentioned above I'm fairly new to the field but with my multidisciplinary background with over 10+ years in built environment, architecture, engineering, project management, agriculture, irrigation, Linux, Open-Source Software and business-related disciplines my approach to the filed may be novel and unique

I am more focused on these platforms,

• Google Cloud Platforms (GCP)
• Google Earth Engine (JavaScript)
• Google Colab (Python)
• QGIS (pyQGIS)

I am more in to Open Source Initiative with over 10 year full time user of GNU/Linux and Open source applications.

and the Satellites I mostly use are,

• LandSat
• Sentinal

I am using following languages,

• javaScript
• python
• R