
Data Scientist
Roel on kokenut datatieteilijä, jolla on yli kymmenen vuoden kokemus teollisuuden, tekoälyn ja koneoppimisen aloilta. Lisäksi hänellä on taustaa korkeaenergiafysiikasta. Hän osaa kirjoittaa tuotantolaatuisia analytiikkakoodeja eri osa-alueilla, mukaan lukien Industry 4.0, Smart and safe Cities sekä Sports & entertainment.
Clients and Projects:
- Electrolux is a Swedish multinational home appliance manufacturer headquartered in Stockholm.
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- BEF4U is a Belgium company predicting the energy consumption in shopping malls
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- Uptime water management provider
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- Polpo, LLM project, using a Dutch model and Langchain to process big documents in chunks (political papers, reports of discussions from Dutch parliament). Found the right model based on language and confidentiality needs. Worked on minimizing the response time.
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- fBeta GmbH, evaluation of LLM generated answers versus human expert answers
AGT International is a leader in Artificial Intelligence for IoT solutions. Proven expertise is across various sectors, including smart cities, manufacturing, safety and security, and enabling independent living for the elderly.
Provided a major contribution to developing the world's first sensor-based bull scoring system using artificial intelligence for the Professional Bull Riders organization.
Responsible for the implementation of the analytics solution of bull scoring. This included sensor signal processing, feature extraction of bull parameters, and model building to predict the difficulty of a ride according to multiple criteria.
Finalized project to customer satisfaction.
Participated in various pre-sales activities, proofs-of-concept and scope definition for multiple projects in sports and entertainment, including basketball, horse riding, and surfing.
AGT International is a leader in Artificial Intelligence for IoT solutions. Proven expertise is across various sectors, including smart cities, manufacturing, safety and security, and enabling independent living for the elderly.
Build prototypes and production code for various applications in Industry 4.0, including predictive maintenance for heavy machinery, machine state estimation, and anomaly detection. Customers were from the German industry.
Contributed to a system for dike stability monitoring with in-site sensors.
The analytics work included failure prediction, trend analysis, modeling, and simulation of complex environmental systems.
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Roel yleinen suorituskyky 90 minuutin suorassa teknisessä arvioinnissa on top 5 % Proxifyn tarkastetuista Data Scientist.




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