Ebrahim Jahanshiri Email and Phone Number
My focus is to empower organizations through the strategic use of data, leveraging over 15 years of experience in geospatial analysis, data science, and AI. I am particularly interested in transforming complex data into actionable insights that drive innovation and efficiency across various sectors, including agriculture, sustainability, and environmental management. My expertise lies in designing and implementing AI-driven solutions, managing large-scale data pipelines, and communicating technical concepts effectively to both technical and non-technical audiences.I have used a wide range of tools and technologies crucial for tackling complex data challenges. I am highly proficient in utilizing GIS software such as ArcGIS and QGIS, coupled with expertise in remote sensing techniques and data acquisition from various sources, including satellite imagery. I leverage my deep understanding of machine learning algorithms, including deep learning and statistical modeling, to develop predictive models and extract valuable insights from data. My experience extends to cloud computing platforms like AWS and GCP, where I have contributed to the implementation of scalable data solutions, including data warehouses and data lakes. I am also proficient in programming languages such as Python, R, and SQL, enabling me to effectively manipulate, analyze, and visualize data.Throughout my career, I have consistently delivered high-impact results, from pioneering the use of big data analytics in the agricultural industry to leading the development of software systems and databases for European projects. Furthermore, my work on European projects involved designing and developing software systems and databases that streamlined data management and analysis, resulting in significant cost savings and increased operational efficiency. My passion lies in utilizing cutting-edge technologies like machine learning, deep learning, and cloud computing (AWS, GCP) to solve real-world problems and unlock business value. I am a highly motivated and results-oriented leader with a proven track record of success in managing and inspiring teams, fostering collaboration, and driving continuous improvement. I am eager to connect with organizations at the forefront of data science and explore opportunities where my expertise can contribute to meaningful and impactful outcomes.
Cff Uk
View- Website:
- cropsforthefutureuk.org
- Employees:
- 1
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Consultant Data Scientist (Data And Genai)Cff UkGothenburg, Se -
Data Science ManagerNiab Apr 2023 - PresentCambridge, England, United Kingdom• Developed a database for more than 500 agronomic studies that were published across European agroclimatic zones from 1972 to 2022: https://zenodo.org/records/8406516• Developed a crop model to assess the potential of Proso millet as a climate-resilient crop for sustainable diversification. https://zenodo.org/records/7456224 • Developed a Global knowledge base for agricultural diversification with MYSQL, PHP on Google Cloud Platform (GCP): https://github.com/geoej/RADIANT-DB• AiSQLQury: an Retrieval Augmented Generation (RAG) based Large Language Model (LLM) extension for domain specific data augmentation: https://github.com/geoej/AiSQLquery• MlOps: end-to-end model production with MLflow and DVC deployment: https://github.com/geoej/EndtoEndDVC -
Data ScientistEjdataworks Jun 2008 - PresentAll things data science, developed innovative solutions, as showcased in projects like AgroLingua and LandSupport, while actively contributing to the field through publications and presentations. -
Geospatial LeadEjdataworks Sep 2008 - May 2014Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia• Developed R code to compare specifications of linear regression and spatial-temporal autoregressive models in mass appraisal valuation for single storey residential property: http://psasir.upm.edu.my/id/eprint/60054• Developed a spatial regression techniques for prediction of house property values. • Developed PFMap macro creates continuous availability and application maps for precision farming. A stand-alone ArcGIS macro developed with ArcObjects and VBA.• Participated in the development of Hyperspectral analysis of oil palm fruit project that to 2 patents.• Developed a comprehensive review of spatial analysis of Property sales. The published paper has received more than 100 citation: https://core.ac.uk/download/pdf/153802057.pdf• Developed Shiny PFMap software, soil mapper using R statistical libraries https://geoprocessing.shinyapps.io/geoprocessing/ data for testing the App: http://b.link/a69• Developed An Automated Valuation System for real estate appraisal based on geospatial regression techniques. A standalone software based on R programming language and TCL/TK -
Geospatial Data ScientistCrops For The Future (Cff) Uk Cic May 2020 - Apr 2023Chelmsford, England, United Kingdom• Awarded “Realising Dynamic Value Chains for Underutilised Crops (RADIANT) - HORIZON 2020 SFS-01-2020”. H2020 European Union. Granted 220,000 Euros. https://www.radiantproject.eu• Developed a multistage suitability assessment based on available data at local, regional and global level (SQL database, Google Earth Engine, local meteorological and prices datasets) to provide initial evidence for the economic feasibility of hemp: https://www.sciencedirect.com/science/article/abs/pii/S0926669021007640• Developed an analysis framework for diversification in the United Kingdom, considering climate, soil, economics, and market demand. API database of 2700 crops, combined GIS and data mining to determine the most promising climate resilitent crop for the UK: https://www.mdpi.com/2077-0472/13/4/787• Developed a data-driven approach for shortlisting underutilized crops (UCs) for sustainable agricultural diversification across Italy: https://www.mdpi.com/2073-4395/12/7/1636 • Quantified the fitness of global datasets for forest Loss quantification in Amazonia based on R and Google Earth Engine: https://github.com/geoej/ForestLossDatasets/• Carried out spatial suitability analysis of bambara groundnut in China using stochastic environmental research and risk assessment, sub-daily swat models, cluster analysis, economic data, climate data, soil data, crop production data, and FAOSTAT data: https://onlinelibrary.wiley.com/doi/full/10.1002/fes3.358• Lead the development of The first version of nation-wide open 3D soil database for Sri Lanka: https://www.sciencedirect.com/science/article/pii/S235234092031235X -
Data ScientistChalmers University Of Technology Dec 2021 - Jul 2022Gothenburg, Vastra Gotaland County, SwedenUtilised the Spatial Generative Adversarial Neural Networks (SpaceGAN) and machine learning models to predict soil properties at unsampled areas (due to high cost). The results show that this method can improve the accuracy of soil information.- Spatial Generative Adversarial Networks (SpaceGANs)- Data mining from published resources- Machine learning modelsRead more: https://gupea.ub.gu.se/handle/2077/72200?show=full -
Geospatial Data ScientistUniversity Of Nottingham Nov 2017 - May 2020Crops For The Future• Awarded EUR 290,000 for the project: “Development of Integrated Web-Based Land Decision Support System Aiming Towards the Implementation of Policies for Agriculture and Environment”. (H2020-RUR-2017-2).https://www.landsupport.eu• Lead a team of 24 data specialists, and software developers to develop CropBASE suite of Apps for agricultural diversification: https://www.cropbase.co.uk • Crop suitability mapperhttps://www.cropbase.co.uk/src/cropgrids/cropgrids.php• AssessCrop: the first evidence-base for new products and their nutrition from underutilised crops:https://cropbase.co.uk/src/assesscrop/assesscrop/product_compare.php• Developed a Global Knowledge Base for agricultural diversification: https://cropbase.co.uk/cropbasev5/• Utilised Support Vector Machines algorithm for the economic feasibility assessment of underutilised crops: https://www.sciencedirect.com/science/article/abs/pii/S0168169918306665 -
Data ManagerUniversity Of Nottingham Aug 2014 - Nov 2017Crops For The Future• Developed a suite of software and tools for diversification of agriculture for more than 10,000 farmers in South East Asia.• A Nutrition Security Tool demonstrating the importance of Underutilised Food Crops for Sustainable Nutrition Security https://geoprocessing.shinyapps.io/underutilised/• DSSAT-INPUT: an online DSSAT-compatible crop modelling input generatorhttps://geoprocessing.shinyapps.io/DSSAT-INPUT-Shiny/• Developed Data frameworks for linking data across different disciplines: https://www.myfoodresearch.com/uploads/8/4/8/5/84855864/_4__fr-2018-104.r1_nur_marahaini.pdf -
Geospatial AnalystUniversiti Putra Malaysia Nov 2003 - Aug 2008• Graduate research fellowship funded by The Malaysian Centre of Remote Sensing (MACRES)• Developed a complete algorithm for geostatistical analysis and mapping that would reduce the number of samples required for mapping by 70%:https://link.springer.com/article/10.1007/s12517-015-1912-6 • Developed object-oriented approach for image segmentation using LandSat data (UGSS)• Granted RM 135,000 (Ringgit Malaysia). “Developing a cellular automata-based planning decision support system” (01-01-04-SF0979), Ministry of Science, Technology and Innovation -
Data Entry SpecialistNational University Of Singapore Jan 2008 - Jul 2008Singapore• Developed a metadata system for remote sensing data fusion for "Land-use Land-cover Change and Its Environmental Consequences in Southeast Asia" project• Transcribed records for the project: "Effects of clearance and fragmentation on forest compositional change and recovery after 200 years in western New York"• Conducted literature search for the project "land-use land-cover change research explored using self-organizing map" -
Director Of The Administrative AffairsPooladin Co. (Manufacturer Of Automobile Parts) Sep 2001 - Aug 2002• Recruited qualified and talented candidates• Processed payroll• Managed employee performance and disciplinary.• Update documentation and policies• Maintained employee records• Managed finances and benefits• Provided career growth (learning & development)
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Project EngineerYekanbazr Agro-Industry Co., Pvt. Jan 2000 - Dec 2000Overseeing the Filteration and screening in seed tomato farms and controlling quality of the seeds separated in the tomato paste plants being a contracting party to the Company.
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It Support SpecialistFerdowsi University Of Mashhad Nov 1995 - Dec 1999• Software and hardware troubleshooting (operating systems: Windows, Linux and Mac)• Network maintenance, printing and email setup• Training students and researchers for Microsoft Office (Word, Excel, Powerpoint, Operating systems and Visual Basic)• Teaching Visual Basic for programming to students -
Undergraduate Research AssistantFerdowsi University Of Mashhad Nov 1995 - Dec 1999• Student assistant for data collection and analysis• Aiding research projects: design of experiments, field and laboratory data collection, data entry• Carried out statistical data analysis, hypothesis testing and inferences
Ebrahim Jahanshiri Skills
Ebrahim Jahanshiri Education Details
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Phd, Gis And Geomatics Engineering -
Precision Farming -
Bachelor'S, Agricultural Engineering
Frequently Asked Questions about Ebrahim Jahanshiri
What company does Ebrahim Jahanshiri work for?
Ebrahim Jahanshiri works for Cff Uk
What is Ebrahim Jahanshiri's role at the current company?
Ebrahim Jahanshiri's current role is Consultant Data Scientist (Data and GenAI).
What schools did Ebrahim Jahanshiri attend?
Ebrahim Jahanshiri attended University Of Gothenburg, Universiti Putra Malaysia, Universiti Putra Malaysia, Ferdowsi University Of Mashhad.
What skills is Ebrahim Jahanshiri known for?
Ebrahim Jahanshiri has skills like Remote Sensing, Gis, Spatial Analysis, Arcgis, Spatial Databases, Geographic Information Science, Envi, Geomatics, Surveying, Image Processing, R, Gps.
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