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😎 Ezzaldin Mamdouh

Data Scientist • Machine Learning Engineer • Data Engineering/MLOps Learner.

About Me

I am a Data Scientist with 2+ years of experience. I design, solve and implement data science solutions to solve challenging business problems.

🔥 My true passion is Data Sciense.

💛 Secretly Trying to being an Expert in MLOps, and design scalable/optimized Machine Learning Pipelines.

🎨 I enjoy sharing my knowledge about Data Sciense and Machine Learning.

👱🏻 Playing Chess is my Favorite hoppy.


About my basic skills

Python

Pandas

Flask

Docker

Git

TensorFlow

pytest

⚫️ My top technologies ⚫️ ⚫️ My top interests ⚫️
• Python, SQL
• Tensorflow, Scikit-Learn
• NumPy, Pandas
• GCP
• Docker, Flask, Airflow, Prefect, Spark, Hive, Impala
• DVC, MLFlow
• PostgreSQL
• MLOps
• Data Science, Statistics
• recommender systems
• batch & online serving
• continuous training & monitoring

I post Data Sciense/Machine Learning content on 👇🏼

linkedin


Thank you ✌🏼 !



Ezzaldin's GitHub stats

Ezzaldin Mamdouh's Projects

backfill-feature-store icon backfill-feature-store

shows how to backfill Energy Consumption feature in a Feature Store (Hopsworks) using an orchestration tool (Prefect).

batch-serving-ml-pipeline icon batch-serving-ml-pipeline

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

dprofiler icon dprofiler

profile tabular datasets, manage automatic validation for new datasets, automatic handling for quality issues.

fast-eda-cli icon fast-eda-cli

Automatic EDA Report Creator CLI Using SweetViz and inquirerPy to analyze datasets, analyze target and compare datasets

get-things-done-with-prompt-engineering-and-langchain icon get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

lazypredict icon lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

lighthouse icon lighthouse

Auditing, performance metrics, and best practices for Progressive Web Apps

mlops icon mlops

Trying Different MLOps Techniques, Courses, Packages and Trials

news-vector-store icon news-vector-store

Building a News Vector Store by getting latest news from API and load embeddings and payload to Qdrant DB

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