Niku Ekhtiari, Ph.D.
Senior Data Engineer at Jua.ai- Claim this Profile
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Persian Native or bilingual proficiency
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English Full professional proficiency
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German Limited working proficiency
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Bio
Cole Erickson
We've been lucky to have Nikoo on our team. As a geospatial software engineer, she was crucial to authoring and maintaining almost all of our core data pipelines. She's a quick and eager learner: beyond geospatial software, she made excellent contributions to our geospatial analysis stack, frontend, backend, databases, and internal tooling. She has executed on some of the most challenging and ambiguous projects on my team even without prior experience in those areas. Nikoo is a strong communicator, even when remote and many time zones away. I hope to work with Nikoo again!
Subit Chakrabarti
It has been a pleasure to have Nikoo on the software engineering team at Cloud to Street. Her coding skills are top notch - she has authored key data pipelines to ingest satellite data and has owned the full implementation of a complex key backend service over the last one and a half years. She is also a great technical communicator and has represented the team’s work at the European Space Agency Living Planet Symposium in 2022. She is a diligent and hard-working engineer and would be an incredible asset to any software engineering team.
Cole Erickson
We've been lucky to have Nikoo on our team. As a geospatial software engineer, she was crucial to authoring and maintaining almost all of our core data pipelines. She's a quick and eager learner: beyond geospatial software, she made excellent contributions to our geospatial analysis stack, frontend, backend, databases, and internal tooling. She has executed on some of the most challenging and ambiguous projects on my team even without prior experience in those areas. Nikoo is a strong communicator, even when remote and many time zones away. I hope to work with Nikoo again!
Subit Chakrabarti
It has been a pleasure to have Nikoo on the software engineering team at Cloud to Street. Her coding skills are top notch - she has authored key data pipelines to ingest satellite data and has owned the full implementation of a complex key backend service over the last one and a half years. She is also a great technical communicator and has represented the team’s work at the European Space Agency Living Planet Symposium in 2022. She is a diligent and hard-working engineer and would be an incredible asset to any software engineering team.
Cole Erickson
We've been lucky to have Nikoo on our team. As a geospatial software engineer, she was crucial to authoring and maintaining almost all of our core data pipelines. She's a quick and eager learner: beyond geospatial software, she made excellent contributions to our geospatial analysis stack, frontend, backend, databases, and internal tooling. She has executed on some of the most challenging and ambiguous projects on my team even without prior experience in those areas. Nikoo is a strong communicator, even when remote and many time zones away. I hope to work with Nikoo again!
Subit Chakrabarti
It has been a pleasure to have Nikoo on the software engineering team at Cloud to Street. Her coding skills are top notch - she has authored key data pipelines to ingest satellite data and has owned the full implementation of a complex key backend service over the last one and a half years. She is also a great technical communicator and has represented the team’s work at the European Space Agency Living Planet Symposium in 2022. She is a diligent and hard-working engineer and would be an incredible asset to any software engineering team.
Cole Erickson
We've been lucky to have Nikoo on our team. As a geospatial software engineer, she was crucial to authoring and maintaining almost all of our core data pipelines. She's a quick and eager learner: beyond geospatial software, she made excellent contributions to our geospatial analysis stack, frontend, backend, databases, and internal tooling. She has executed on some of the most challenging and ambiguous projects on my team even without prior experience in those areas. Nikoo is a strong communicator, even when remote and many time zones away. I hope to work with Nikoo again!
Subit Chakrabarti
It has been a pleasure to have Nikoo on the software engineering team at Cloud to Street. Her coding skills are top notch - she has authored key data pipelines to ingest satellite data and has owned the full implementation of a complex key backend service over the last one and a half years. She is also a great technical communicator and has represented the team’s work at the European Space Agency Living Planet Symposium in 2022. She is a diligent and hard-working engineer and would be an incredible asset to any software engineering team.
Credentials
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Build Basic Generative Adversarial Networks (GANs)
CourseraJun, 2021- Sep, 2024 -
Intermediate Python for Data Science Course
DataCampMar, 2019- Sep, 2024 -
Intro to SQL for Data Science
DataCamp
Experience
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Jua.ai
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Switzerland
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Technology, Information and Internet
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1 - 100 Employee
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Senior Data Engineer
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Feb 2023 - Present
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Floodbase
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United States
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Climate Data and Analytics
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1 - 100 Employee
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Geospatial Software Engineer
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Sep 2021 - Jan 2023
- Maintained data, and processing pipelines on GCP Dataflow based on Apache Beam - Developed and maintained a Near Real Time monitoring system for flood disaster analytics running on GCP Managed instance groups (MIG). - Maintained and developed a new data model, and schema used in a postgreSQL DB (technologies: FastAPI, sqlalchemy) - Developed an end-to-end Zonal statistics service, using Dask, and Coiled cluster - Maintained data, and processing pipelines on GCP Dataflow based on Apache Beam - Developed and maintained a Near Real Time monitoring system for flood disaster analytics running on GCP Managed instance groups (MIG). - Maintained and developed a new data model, and schema used in a postgreSQL DB (technologies: FastAPI, sqlalchemy) - Developed an end-to-end Zonal statistics service, using Dask, and Coiled cluster
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UP42
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Germany
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IT Services and IT Consulting
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1 - 100 Employee
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Data Scientist
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May 2019 - Sep 2021
- Developed asynchronous microservices using FastAPI for geospatial workflows - Developed geospatial processing algorithms using Python and Docker. - Modified existing deep learning models, conceptualized a new one, and applied training for Superresolution with satellite images using TensorFlow (Paper published). - Developed and maintained an open source python package for measuring image similarity. - Extensive contributions to the UP42 python packages (SDK, and blockutils). - Developed asynchronous microservices using FastAPI for geospatial workflows - Developed geospatial processing algorithms using Python and Docker. - Modified existing deep learning models, conceptualized a new one, and applied training for Superresolution with satellite images using TensorFlow (Paper published). - Developed and maintained an open source python package for measuring image similarity. - Extensive contributions to the UP42 python packages (SDK, and blockutils).
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PIK - Potsdam Institute for Climate Impact Research
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Germany
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Research
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200 - 300 Employee
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Climate Data scientist
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Jan 2015 - Mar 2019
I did my PhD in theoretical (computational) physics at Humboldt University of Berlin and Potsdam Institute for climate impact research (PIK). My responsibilities at PIK was working with the climate data and time series and applying novel data analysis approaches such as complex network analysis to explore and reveal hidden characteristics related to climate data.
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Researcher
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Nov 2017 - Feb 2019
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Education
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2015 - 2019
Humboldt University of Berlin
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics -
2011 - 2013
Sharif University of Technology
Master of Science (M.Sc.), Physics
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