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Work Background
FreelanceFreelance Software Developer
Jan. 2025Suresnes, Île-de-France, France
AMVS GLOBALIT Engineer / Data Scientist
Jun. 2024 - Dec. 2024France, SuresnesServier Project
Sorbonne UniversitéSoftware Engineer/Developer
Dec. 2022 - Nov. 2023Contributing 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.
GandiResearch And Data Engineer
Jan. 2022 - Aug. 2022Paris, Île-de-France, France
SCMSAResearch Engineer
Jul. 2021 - Nov. 2021Paris, Île-de-France, France
EQORIA, United Citizens of EarthSpace Observatory Scientist & Lunar Observatory Project Coordinator
Aug. 2020 - Oct. 2020
LESIA - Observatoire de ParisPython Developer, Data Analyst
Mar. 2020 - May. 2021
LESIA - Observatoire de ParisPython Developer, Data analyst
Mar. 2020 - Aug. 2020Meudon, Ile-de-France, FranceDirect 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 .
National & Kapodistrian University of AthensData Analyst, Python developr
Jan. 2020 - Mar. 2020Athens Metropolitan AreaUnderstanding the Milky Way Galaxy using GAIA project: verification of newly discovered open clusters and associated carbon stars
GéoAzurPython Developer, Data analyst
Nov. 2019 - Dec. 2019Nice, Sophia AntipolisMICROSCOPE satellite (cooperation with GéoAzur, project: data analysis: test masses off-centering estimation)
Observatoire de la Côte d'AzurResearch Assistant
Sep. 2019 - Oct. 2019Nice Area, FranceImpact physics and space applications (project: Micrometeoroid Impact hazards on Moon Village)
Université Côte d'AzurMATLAB developer, Data analyst
May. 2019 - Jun. 2019Nice , France Co-phasing segmented optics/ Application on JWST [A complete description of this module is provided in the link below:
http://mauca.unice.fr/wp-content/uploads/2019/06/template_pres_CSO_PMa.pdf ] Project: Phase estimation of JWST primary mirror using SCC technique.
In this project, I tested a new focal plane phasing sensor self-coherent camera (SCC) that estimates piston and tip-tilt misalignments of JWST primary mirror with a Four Quadrant Phase Mask (FQPM) as the coronograph in my simulations.
I provide the theoretical foundation and the mathematical justification behind the SCC and how it can be utilized as a phasing sensor. Furthermore, I improved a numerical simulation that was already developed in "MATLAB" to test the capability of the sensor. The products of my simulation show that the senor is capable of retrieving estimations of the piston and tip-tilt errors. I showed that as the SCC-PS operates in monochromatic light, it’s affected by the π-ambiguity problem with specific capture ranges for piston and tip/tilt errors.
Université Côte d'Azur, INRIAMATLAB developer, Data analyst
Mar. 2019 - Apr. 2019Nice Area, FranceProject: Orbital simulator for low Earth orbit (LEO) satellites ( cooperation with INRIA)
[A complete description of this module is provided in the link below:
http://mauca.unice.fr/wp-content/uploads/2018/05/nanosat.pdf ] The purpose of this project was the development of an orbital simulator in order to provide a realistic approximation of satellite trajectories (International space station "ISS" in this case) in Low-Earth Orbits (LEO) and then making a comparison against the real trajectory of satellite in LEO using S3L propagator ( a propagator provided by my supervisor). I developed this orbital propagator in "Matlab/Simulink" to estimate the time-varying position of the satellite, based on the two-body equation considering earth oblateness ( J2 perturbation) and atmospheric drag effects (based on Harris-Priester model) to increase the fidelity of the propagator. Nodal precession, Precession of line of apsides, contraction of the semi-major axis and loss of altitude of ISS had been calculated precisely which had very good agreement with the results of S3L propagator.
Observatoire de la Côte d'AzurPractical Training
Jan. 2019 - Jan. 2019Grasse, Provence-Alpes-Cote d'Azur, France[www.oca.eu/fr/c2pu-accueil?article33]
In this module, we spent 1 week on the theoretical courses about the science of different targets and 2 weeks of observations (e.g. calibration, data acquisition...) using 2 one-meter telescopes (Omicron & Epsilon) for different targets like asteroids, exoplanet transit, star clusters, binary stars (speckle Interferometry) & stars spectroscopy conducted under the supervision of our master professors team. The data reduction and data analysis had been done by different pipelines and software for each target i.e. AstroImageJ, IRAF, Python, TOPCAT, SExtractor. For the personal project, I prepared a proposal in order to observe the transit of exoplanet "WASP-43 b" and then I had done data reduction and data analysis on this target using "AstroImageJ" pipeline, specifically to check the photometric accuracy of the C2PU Omicron telescope. As a result, I obtained an asymmetric transit light curve, which could be due to a variation in the atmosphere of the "WASP 43-b" from some unknown phenomenon. In the end, a detailed report about all the accomplished observations and the procedures had been provided by me and my scientific partner to our supervisors.
Thales Alenia SpaceTraining module
Dec. 2018 - Dec. 2018
Observatoire de la Côte d'AzurPython Developer, Data analyst
Nov. 2018 - Dec. 2018Nice, FranceGalaxy cluster survey
[A complete description of this module is provided in the link below:
http://mauca.unice.fr/wp-content/uploads/2016/03/benoist_meteor.pdf] Project: Cluster of galaxies mass estimation by optical methods.
In this project, I investigated the cluster of galaxies (Abell 1767) morphology and dynamics using spectroscopic and photometric data ( from SDSS catalogs) with the codes that I developed in "Python", and I obtained fairly good results for dynamical properties such as mass and velocity dispersion and virial radius by optical method based on virial theorem, which was in agreement with the results in the other literatures that used optical method. I demonstrated that morphology analysis of cluster can improve the mass estimation since the morphology-radius relation was confirmed. I had exposed
my work in front of a jury composed of other professors of the master.
Observatoire de la Côte d'AzurMatlab Developer, data analyst
Dec. 2017 - Sep. 2018
Narbon Food IndustryMarketing Communications Manager
Dec. 2016 - May. 2017Tehran, Iran
Tose'e Sazan Rudsar construction Inc.Member Of The Board Of Advisors
Jul. 2013 - Sep. 2017Rasht, Iran
Howsam khodro.Co (Automobile trading company)Marketing Manager
Jan. 2013 - May. 2017Roodsar Iran
Tose'e Sazan Rudsar construction Inc.consulting group
Jan. 2010 - Sep. 2017
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