I will do data cleaning, preprocessing, and eda in python

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samirfawzy925
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samirfawzy925
Samir Fawzy

About this gig

Are you struggling with messy data or need a reliable predictive model? Lets turn your raw data into meaningful insights and actionable results.


Hello! Im a Data Analyst and Machine Learning Specialist with an academic background in Mathematics and Computer Science. I use Python and machine learning techniques to clean, analyze, visualize, and extract value from your data.


What I can do for you:


  • Data Cleaning & Preprocessing: Handle missing values, duplicates, inconsistent data types, and formatting issues.
  • Exploratory Data Analysis (EDA): Discover patterns, relationships, and trends using statistical analysis and clear visualizations.
  • Machine Learning: Build, train, and evaluate predictive models using Scikit-learn.
  • Feature Engineering: Create meaningful features to improve model performance.


Tools & Technologies:

Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook


Why Choose Me?

  • Microsoft Machine Learning Track Certified
  • Strong Mathematics & Computer Science foundation
  • Clean, organized code
  • Clear communication and on-time delivery


Larger or more complex datasets can be handled through a custom offer.

Have a dataset or specific problem in mind? Feel fr

Get to know Samir Fawzy

Samir Fawzy

Data Analyst and Machine Learning Engineer

  • FromEgypt
  • Member sinceJan 2025
  • Languages

    Arabic, English
Hi! I'm a Data Analyst & ML Engineer with a strong Math & Computer Science background. I turn raw data into actionable insights. My expertise covers Python, Pandas, NumPy, Deep Learning, and Reinforcement Learning. What sets me apart is that I don't just build models; I deploy them into production-ready APIs using Flask. Certified by the Microsoft ML Track, I combine theoretical depth with practical problem-solving. Whether you need EDA, predictive models, or AI solutions, I’m ready to help. Message me to discuss your project!

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