Maryam Hajiaghazadeh Roodsari
CTO as a Service | Renewable Energy & Data Science
Salary / Daily rate
Paris, France
Freelance, open to permanent contract
Skills
Languages
About me
Intro
Founder & CTO with 5+ years expertise in renewable energy systems and scientific software development. Led ESA satellite data analysis projects and developed innovative solar panel technologies including BIPV and energy management systems. Specialized in Python/IDL development, machine learning, and astrophysics applications for complex energy optimization solutions.
Work experience
Founder -- CTO
Hoordad Energy Ariyan
Feb 2025 - Present
1 year 9 months
69340 Francheville, France
☆Transparent Interactive Solar Panels + Digital signage ☆Building Integrated Photovoltaic (BIPV) ☆Building Energy Management System(BEMS) ☆Energy-Management-System (EMS) ☆Renewable Energy System (RES) ☆Photovoltaic panels estimation, Installation and energy optimization ☆PVV ☆HVAC
IT Engineer/ Data Scientist
AMVS Global GmbH
Jun 2024 - Mar 2025
10 months
92150 Suresnes, France
Servier Project
Software Engineer/Developer
Sorbonne Université
Dec 2022 - Dec 2023
1 year 1 month
Contributing to an ESA initiative, I enhanced a cloud database with CALIOP/CALIPSO and ALADIN/Aeolus observations, focusing on advanced remote-sensing data analysis. This complex project demanded expertise in data preprocessing, machine learning, data visualization, statistical analysis, and optimization. Data Preprocessing: Led the extraction and processing from netCDF, HDF, and CSV files, ensuring data integrity. Advanced cleaning addressed missing values, setting high data quality standards. Machine Learning & Interpolation: Developed a Random Forest Regressor using CALIPSO data for depolarization, countering the absence of cross-polar channel data in AEOLUS/ALADIN. I created 2D and 3D interpolation functions with ERA5 data, using IDW methods to enhance depolarization accuracy. Statistical Analysis: Conducted detailed statistical analyses, calculating correlation coefficients, mean differences, and standard deviations to evaluate model performance, ensuring robust predictions. Data Analysis Routines: Developed routines for estimating cloud amounts and constructing time series for cloud profiles, excluding SAA-affected regions for accuracy. A day/night mask generator was also developed to address satellite overpass time differences. Advanced Data Visualization: Utilized a broad spectrum of visualization techniques to identify patterns and visualize atmospheric variables' intricate distribution, aiding in complex pattern revelation and effective findings communication. Optimization & Efficiency: Applied parallel computing and vectorization for code optimization, enhancing processing efficiency across all routines. Mentoring junior team members in software development underscored the collaborative success of this project, showcasing my ability to navigate geophysical data analysis complexities. This initiative reaffirmed my standing as a Python/IDL Developer, Data Scientist, and Physicist, advancing geophysical phenomenon understanding through innovative analysis.
Research And Data Engineer
Gandi
Jan 2022 - Aug 2022
8 months
Paris, France
Research And Development Engineer
Freelance (Self employed)
Mar 2021 - Dec 2021
10 months
Paris, France
LESIA - Observatoire de Paris
Mar 2020 - May 2021
1 year 3 months
Python Developer, Data Analyst
Mar 2020 - May 2021
1 year 3 months
Python Developer, Data analyst
Mar 2020 - Aug 2020
6 months
Meudon, France
Direct detection of exoplanets by molecular mapping. Application of JWST/MIRI We investigate the capabilities of the MIRI the mid-IR instrument on the James Webb Space Telescope(JWST) for exoplanets characterization using the technique of molecular mapping which consists of cross-correlating the observation data with the exoplanet atmosphere models to disentangle stellar light from planet light. In this internship we explore this technique for the particular case of MIRI Medium Resolution Spectrometer (MRS) using the MIRISIM simulator in order to simulate observation data, the Exo-REM models as the planet’s atmospheric models and the BT-NextGen for the stellar spectrums for the three cases of β-Pictoris b and HR8799 b & c. As a result, we detect the targets in each individual sub-channel, and the presence of H 2 O molecules had been verified in all 3 planets. Furthermore, our technique shows good sensitivity to different values of the initial parameters of our atmospheric models like T_eff .
Space Observatory Scientist & Lunar Observatory Project Coordinator
EQORIA, United Citizens of EarthFreelance
Aug 2020 - Oct 2020
3 months
Data Analyst, Python developr
National & Kapodistrian University of Athens
Jan 2020 - Mar 2020
3 months
Athens Metropolitan Area
Understanding the Milky Way Galaxy using GAIA project: verification of newly discovered open clusters and associated carbon stars
Python Developer, Data analyst
GéoAzur
Nov 2019 - Dec 2019
2 months
Nice, Sophia Antipolis
MICROSCOPE satellite (cooperation with GéoAzur, project: data analysis: test masses off-centering estimation)
Research Assistant
Observatoire de la Côte d'Azur
Sep 2019 - Oct 2019
2 months
Nice Area, France
Impact physics and space applications (project: Micrometeoroid Impact hazards on Moon Village)
Education
Université Côte d'Azur
Master's degree
2018 - 2020
3 years
Université Côte d'Azur
DUEF A2, DUEF B1
2017 - 2018
2 years
Shiraz University of Technology
Master's degree
2015 - 2016
2 years
Shahid Beheshti University
Master of Business Administration (M.B.A.)
2014 - 2015
2 years
University of Tabriz
Bachelor of Science (B.Sc.)
2008 - 2013
6 years