Hamidreza Asvadi
@hamidrezaasvadi
I build predictive maintenance and anomaly detection systems that reduce energy waste.
ItalyWhat I'm looking for
I've built predictive maintenance and anomaly detection solutions at Creatus Cloud, Pipo srl, and DANFOSS, using LSTM auto-encoders, Isolation Forest, RNNs, and GRUs to analyze device and PLC telemetry.
At Creatus Cloud, I developed one-class models for heating-device idle-state detection, identified cooling-device anomalies to reduce kitchen energy waste, and moved containerized Docker inference pipelines from Google Colab research into AWS production.
I've also delivered data platforms and reporting automation at NOI Techpark and BehSazan Eghtesad Parsian Shomal, migrating sources to Dataverse, building Power Apps and Power Automate workflows, and creating Power BI dashboards. My MSc thesis focuses on AI-driven idle-state detection for energy optimization.
Experience
Work history, roles, and key accomplishments
Data Scientist - Thesis
Creatus Cloud
Jan 2026 - Jul 2026 (6 months)
Developed LSTM Auto-encoder models for predictive maintenance and anomaly detection in heating and cooling devices. Containerized inference pipelines with Docker and deployed models to AWS production.
Education
Degrees, certifications, and relevant coursework
Free University of Bozen-Bolzano
Master of Science, Data Analytics
2023 -
Pursuing an MSc in Data Analytics with a thesis on AI-driven idle state detection for energy optimization.
Mazandaran University of Science and Technology
Master of Business Administration, Information Systems
2015 - 2018
Grade: 3.8/4
Completed an MBA in Information Systems with a thesis on factors influencing online shopping behavior.
Mazandaran University of Science and Technology
Bachelor of Science, Computer Engineering
2009 - 2015
Earned a Bachelor of Science in Computer Engineering with a thesis on inventory control systems.
Availability
Location
ItalyAuthorized to work in
Job categories
Skills
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