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Here is a background about me:

An experienced Data Scientist with extensive industrial experience and strong academic background. An expert in applying computational intelligence methods in a wide variety of fields including CFD and FEA simulations to solve industrial problems. Expertise in data science with domain knowledge in operation, reliability, and predictive maintenance.

  • Technical Areas of Expertise: Machine Learning Algorithms and Implementation, Exploratory Data Analysis (EDA), Data Visualization, Statistics and Probability, Design of A/B Test and Analysis of Results, and Feature Engineering.

  • Programming Languages and Technologies: Advanced Python programming skills with deep knowledge of data management and machine learning libraries including Pandas, Pumpy, PySpark, Scikit Learn, Matplotlib. Shell and Bash scripting, C, Scala, and Fortran.

  • Visualization software such as Tableau.

Some of my current activities:

  • šŸ”­ Iā€™m currently building Machine Learning models for clients in various industries, and I am implementing them on end-to-end softwares
  • šŸ‘Æ Iā€™m looking to collaborate on ... anything Data Science!
  • šŸ’¬ Ask me about ... anything!
  • āš” Fun fact: ... I lived in 6 countries on the major four continents! -->

Ahmed Ali's Projects

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

islp icon islp

ISLP package: data and code for labs

py4scicomp icon py4scicomp

Python for Scientific Computing (FEniCS, PyTorch, VTK)

robonnx icon robonnx

An onnx/TensorRT implementation of Cardiff NLP's emotion detection RoBERTa model

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