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Hey there!! 👋

Trained in Data Science at the Le Wagon full-time bootcamp Paris, and with a PhD in theoretical physics, I am passionate about machine learning and applied mathematics. I am looking for a role as a data analyst/scientist in order to put my know-how into practice in a professional environment. Industrial and medical applications are particularly interesting to me.

My intention is to continue to learn and grow in this ever-changing data landscape!

Languages and Tools:

python mysql julia wolfram cplusplus

scikit-learn scipy sympy gcp fedora

Thanks for stopping by!

Albin James's Projects

albinjames.github.io icon albinjames.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

anfis icon anfis

Python implementation of an Adaptive neuro fuzzy inference system

batch_5_transplant icon batch_5_transplant

Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch

cern-code-2018 icon cern-code-2018

Code from my time as a summer student at CERN during 2018. The code will not execute as it needs to be run in a specific directory to access the LHC data.

codecarbon icon codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

desktop icon desktop

Fork of GitHub Desktop to support various Linux distributions

dotfiles icon dotfiles

Default configuration for Le Wagon's students

dtc-workshop icon dtc-workshop

Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop

dtcwt icon dtcwt

Python port of the Dual-Tree Complex Wavelet Transform toolbox for MATLAB

goforlunch icon goforlunch

An app to share your restaurant choice with your coworkers

gosync icon gosync

An Opensource Google Drive client written in Python

grassmann.jl icon grassmann.jl

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hep_ml icon hep_ml

Machine Learning for High Energy Physics.

hmdr icon hmdr

hmdR: The Human Mortality Database (HMD) anylsis package for R :couple::globe_with_meridians:

imbalanced-learn icon imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

infiniteboost icon infiniteboost

InfiniteBoost: building infinite ensembles with gradient descent

jump.jl icon jump.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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