Mes projets

Close-Prices

Stock Market predictions

Adrian Chmielewski 19/06/2023
In this project, we will download historical S&P 500 index data from Yahoo Finance, performs some preliminary exploratory data analysis and manipulations, and then we will apply a Random Forest…
Bandgap

EELS data analysis

Adrian Chmielewski 05/05/2023
In this project, we will show some workflows that are useful for EELS data analysis. We will cover multiple topics such as background removal, Hartree-Slater cross section function, low loss…
steven-atkinson-neural-amp-modeler

Neural Amp Modeler

Adrian Chmielewski 05/05/2023
Development of new tools for the Neural Amp Modeler developed by Steven Adkinson. Neural Amp Modeler is an open-source project that uses deep learning to create models of guitar amplifiers…
Image_satellite

Image related project

Adrian Chmielewski 05/05/2023
Analyzis of satellite data using Neural Networks Under construction…
Polarization

HRSTEM images characterization

Adrian Chmielewski 05/05/2023
In this project, we have used multiple Python libraries to do a full analysis of High Resolution Scanning Transmission Electron Microscope (HRSTEM) images of LSMO/STO Perovskites. In this particular project,…
Cartographie-Abstentions

Referendum

Adrian Chmielewski 05/05/2023
Analysis of the socio-cultural influence on the voting result of a referendum Introduction Analysis of the socio-cultural influence on the voting result of a referendum. In this project, we were…

About

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Adrian Chmielewski – PhD

Data Scientist, Materials scientist, and «everything related to AI » enthusiast. After being introduced to electron microscopy and spectroscopy during an internship at CIME (EPFL) in Prof. C. Hebert group, I pursued a master degree in Materials science/quantum devices. I obtained my PhD in Physics in 2018 during which I studied surface thermodynamics and reactivity of nanoalloys by environmental TEM at the University Paris Cité. Between 2019 and 2022, I was a part of the GAME-MURI project funded by Air Force Office of Scientific Research as an electron microscopy expert for the study of the crystal and electronic properties of β-Ga2O3 heterostructures at Penn State University.

Over the past 10 years, I have also acquired extensive experience in Python-based tools development for the analysis and processing of scientific data. In addition, I have completed a 9-month training program in Data Science to further enhance my skills in AI. My diverse educational background and practical experience enable me to bring a unique perspective to any IA project and tackle complex problems with innovative solutions.