shtrausslearning,Andrey,github

Hello, my name is Andrey :3
○ Data Analyst in financial sector
○ Peviously worked on meshless and synthetic turbulence topics & biomimicry in aerodynamics
○ In my spare time I paint portraits
○ I like to work on Kaggle, my profile is linked in above

My Interests:

Data Science, Bioinformatics, Machine Learning

Background

○ Aerospace Engineering from Tohoku University (graduate)
○ Worked on Meshless methodology for discretisation & high order interpolation methods (ML approach)
○ Specialise in Computation Fluid Dynamics & Aeroacoustics

Andrey's Projects

2d-dmfvm-euler-ns

2D Edge-Based Dual Median Unstructured Finite Volume Euler/Navier-Stokes Code (Laminar)

anomaly-detection-w-sql

Anomaly Detection using only SQL operations

biopylib

Bioinformatics made simple 🧬

data-driven-cfd

Mixing Computational Fluid Dynamics Topics & Machine Learning

data-science-portfolio

Machine Learning / Deep Learning Project List

deep-learning-projects

Various DL/NPL projects that utilise PyTorch/Keras big or small

kaggle-notebook-storage

I/O Folder for Kaggle Jupyter Notebooks

meshless-discretisation-solvers

Strong Form Meshless Discretisation such as TLS/PLS suffer from meshless coefficient misalignment leading to discretisation error (non conservative flux discretisation). CTLS allows enough flexibility in alignment & hence readjust meshless coefficients, leading to a formally conservative discretisation of PDEs, using a full covariance weight matrix in the TLS formulation.