Ga naar de hoofdinhoud
Pedram Ghorbanpour

Pedram Ghorbanpour

Energy Data Engineer with 5+ years of experience

Talent
AntwerpenLid sinds 16 april 2026
PythonFortranSQLBashPandasNumPyscikit-learnTime-series processingETL developmentCloud technologies & architectureDocker & containerizationCI/CD workflowsDjangoREST APIsPostgreSQLPyQT5SaaS platformsRenewable energy system modelingTidal/offshore turbinesPV system analysisHVAC & building energy simulationLarge energy dataset processingPV self-consumption & ROI analysisAutomated reportingMATLABANSYS FluentWindPRODIALuxProject managementTechnical leadershipCross-functional communication
·

Deze persoon inhuren

Stuur een vacature direct naar deze kandidaat

PythonFortranSQLBashPandas

Over

Energy & Data Engineer with expertise in renewable energy systems, data pipeline development, and industrial analytics. Experienced in designing scalable solutions for energy data processing, turbine modeling, and techno-economic assessments. Proficient in Python, Fortran, SQL, and cloud technologies.

Ervaring

Energy Data Manager at GreenFlex Italia (2023-10 – Present)

Managing large-scale energy data pipelines and automation workflows for industrial and retail energy monitoring and optimization.

  • Developed and managed Python-based data pipelines processing 100+ GB/year of energy data across 1,200+ industrial and retail sites, reducing preparation time by 40%.
  • Designed automation workflows that reduced energy reporting turnaround from 2 months to 2 days, enabling scalable performance monitoring.
  • Led PV self-consumption feasibility studies and energy optimization analyses, delivering strategies adopted across multiple client facilities.

Research Fellow & Assistant at Consiglio Nazionale delle Ricerche (CNR) (2021-02 – 2023-09)

Developed numerical models for renewable energy systems and launched a SaaS platform for turbine analysis used by academic and industrial stakeholders.

  • Developed Fortran–Python hybrid numerical models for techno-economic sizing of tidal and offshore wind turbines, validated with experimental datasets.
  • Designed and launched OceanusLink (TidalTools), a Django-based SaaS platform used by 50+ academic and industrial stakeholders for turbine analysis and design.
  • Supervised and mentored 4 research interns and contributed to peer-reviewed publications, including the International Marine Energy Journal.

Mechanical Engineer Intern at ASD group engineering and consultancy INC (2017-03 – 2017-08)

Supported wind farm design and feasibility studies through meteorological data analysis and engineering documentation.

  • Prepared and analyzed meteorological and wind data to support wind farm design and feasibility studies.
  • Contributed to engineering documentation and work plans in coordination with project management teams.
  • Supported wind farm design and analysis using WindPRO, alongside data processing and technical reporting.

Opleiding

M.Sc. in Energy Engineering – Sapienza University of Rome (2017-09 – 2020-07)

B.Sc. in Mechanical Engineering – University of Tabriz (2012-09 – 2017-02)

Vaardigheden

Energy Data Engineer with 5+ years of experience

Beoordelingen

Gerelateerd