Natheer Alabsi

Worked as New Business Development | Data & AI Solutions | PhD | Former IBM Data Scientist & AI Engineer at 株式会社綜合キャリアオプション.

As a Client Engineering AI Engineer, I play a pivotal role within a multi-disciplinary team made up of Engineers, Architects, Designers, Data Scientists, and Business Strategists. Serving as a key contributor, I collaborate seamlessly within this unified team, engaging in co-creation with clients and facilitating experiential working sessions aimed at delivering minimal viable products (MVPs) and

Data Scientist in IBM Garage, part of a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation. Acts as a key contributor to a pre-sales Garage team, partnering with clients to understand business problems and propose solutions. Contributes to co-creation of rapid proofs of concept and minimally viable solutions that demonstrate business valu

Worked as Japan AI Assistants & Generative AI Focal at IBM.

• led the development of failure prediction models for the global and domestic market for RICOH @Remote Service. Terabytes of data are analyzed to build predictive models which give advanced warnings of potential failures.
• Developed a self-training system, which involve iterative process of data preprocessing, ‎feature selection, feature engineering and model building to improve model performanc

I worked as a data scientist and machine learning engineer.

I was involved in implementing Factory of the Future strategy being in charge of ‎multiple key projects aimed at 2020 vision.‎
• Completed six use cases and mainly contributed to the progress of others
• Built a system for benchmarking of trucks fuel efficiency and provide insights and over ‎‎300 of fuel related metrics to optimize fuel

Delivered multiple use cases for major client companies, Honda, Sagawa logistics and ‎Alpine Electronics. ‎
• Built a failure prediction platform to predict failures in advance in Honda Asimo robots ‎reducing customers claims ‎
• Optimized the logistics operations of Sagawa Express for the whole transport network ‎by predicting future delivery demand in all the branches and regions ‎
• Created

Development of three-dimensional mapping system of
marine macrophyte beds using hyper- and multi-spectral
remote sensing 

Development of a conservation strategy for the Red Sea
coastal fisheries and critical habitats using remote
sensing and GIS

Project: CREST Research Project, Atmosphere and Ocean Research Institute

Development of three-dimensional mapping system of marine macrophyte ‎beds using hyper- and multi-spectral remote sensing from air and sea surface

Mapping of the Red Sea coastal fisheries using remote sensing and GIS

Project: University of Tokyo Bio-logging Science (UTBLS) , Atmosphere and Ocean Research Institute

Objective: A research program to develop and use animal-borne dataloggers to ‎investigate the dynamic behavior of aquatic animals and their environment from the ‎perspective of the animals

Theme: Studies on the behavior of a deep-water fish, the splendid alfonsino (Beryx splendens) ‎using micro data loggers

Worked as Research Assistant at The University of Tokyo.

Duties: Developing syllabi and curricula, delivering course materials, mentoring students, ‎setting exams, supervising labs, and coordinating other teaching assistants ‎

Issued Feb 2024 · Expired Feb 2025

Issued Jan 2023

Major Field: Environmental Studies‎
Minor Fields: Fisheries, Remote Sensing and GIS, Marine Environmental ‎Studies

A novel approach for monitoring small-scale fisheries with GPS, GIS and remote ‎sensing techniques ‎

Major Field: Environmental Studies‎
Minor Fields: Fisheries, Bio-logging, Marine Environmental Studies

Studies on the behavior of a deep-water fish, the splendid alfonsino (Beryx ‎splendens) using micro data loggers ‎

Age and Growth of Naqim (Pomadasys argenteus) From Red Sea of Yemen, Near Hodeidah