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Welcome to Ahmed's Cave πŸ‘‹

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 – 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.

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

  • βš™οΈ Wanna have a look: My Resume
  • πŸ“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 – I make them my big picture.

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

Ahmed Nabil's Projects

stocklook icon stocklook

crypto currency library for trading & market making bots, account management, and data analysis

strftime.org icon strftime.org

A single-serving-site that provides a reference for Python's strftime formatting options

tfdistilbert-n-grams icon tfdistilbert-n-grams

Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).

tfx icon tfx

TFX is an end-to-end platform for deploying production ML pipelines

titanic-with-prof-data-scientist icon titanic-with-prof-data-scientist

The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered β€œunsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.

tscl icon tscl

Contrastive Learning for Time Series

whisper-test icon whisper-test

Automatically generate and overlay subtitles for any video using OpenAi Whisper

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