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data_science_algorithms's Introduction

Welcome to Ahmed's Cave ๐Ÿ‘‹

Skills

Python Proficiency SQL Proficiency

$DellEMC^2$ Data Scientist IBM Data Scientist Google Cloud professional ML

Data Science proficiency ML Proficiency DL Proficiency RL Proficiency

GCP Proficiency Shell Proficiency

Who Am I?

I'm a AI Engineer who's working on real-world problems with an orchestrated, fully designed, and scalable machine learning system to help better flexible life.

Also, I am Professional Machine learning Engineer from Google Cloud & Certified Data Scientist from IBM โ€“ working for bringing the industrial experience of the best two companies in AI & ML. These certificates help me have a vision and better decisions in building and orchestrating ML systems.

  • ๐Ÿ”ญ Iโ€™m currently working on Control Theory and decision making in AI.
  • ๐ŸŒฑ Iโ€™m currently learning more about Statistics & Computational thinking & System Design.
  • ๐Ÿ’ฌ Ask me about AI ethics and how to start building your vision into a machine.
  • ๐Ÿ“ซ How to reach me: Join my journey on LinkedIn.
  • โšก Fun fact:
    • Who doesn't like Ironman!! If you do, you must like how Jarvis corporate everything ๐Ÿ˜„.
    • That's why โ€“ our generation like to have something like Jarvis.
    • The Fun fact here, Jarvis now is not a fictional character โ€“ it is now a fact.

  • โš™๏ธ Wanna have a look: My Resume
  • ๐Ÿ“š Kaggle Profile: My Kaggle Profile

Github Stats

Github Stats

Most Used Languages


My Experience

  • Have Solid knowledge about how to build pipelines as Data Scientist (starting from data cleaning, going throw exploratory data analysis EDA, until export model).

  • How to build a pipeline as Machine Learning Engineer (starting from data pre-processing, feature engineering, hyper-parameter tuning and cross-validation, until serving the model) using Tools like TFX, Kubeflow, Apache Beams, and Airflow.

  • How to convert business requirements into CI.

  • Capable build advanced and explainable models that predict and forecast outcomes.

  • Capable build advanced and explainable models that predict and forecast outcomes using orchestration artefacts for CT.

  • Capable of framing & architecting any AI problem.

  • AI code is 5% of any project. Hence, all the focus will be on monitor & measure for optimizing the performance of our model.

  • The deployment process will not be efficient if there is no solid research behind it. So, I'm capable create a sophisticated technical report that emphasizes the workflow behind the development process.

  • Have the ability to deliver actionable business insights and incubate innovative ways of solving problems and founding solutions.

  • The main goal is to finish what you start: "clients do not relate to reasons, they relate to actions".

  • Discipline, persistence, well-adapted are keys for a successful person; that's why โ€“ I make them my big picture.

  • Communication is not always the best thing, but being convenient is the best, especially with the stakeholders.

data_science_algorithms's People

Contributors

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Stargazers

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Forkers

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