Summary
Overview
Work History
Education
Skills
Projects
Affiliations
Certification
Timeline
Generic

Omayma Ali

Zagazig

Summary

Passionate and driven Data Scientist with a strong foundation in data analysis, visualization, and machine learning. Skilled in applying Python-based tools and libraries to extract insights from complex datasets and build predictive models. Proven track record of completing training projects, and showcasing expertise in data preprocessing, feature engineering, model development, and result interpretation. I am committed to staying up-to-date with the latest advancements in data science and applying innovative techniques to deliver impact solutions. I am eager to leverage my skills and knowledge to contribute to challenging and dynamic data-driven projects.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Web Scrabber

Freelancer
01.2024 - Current
  • Scraped webpages to extract data using Python, BeautifulSoup, and Selenium libraries.
  • Configured proxies, user agents, and headers while scraping websites.

Data Scientist

Raqameyyah Digital Consultancyg
Asyut
05.2023 - 05.2024
  • Company Overview: https://www.linkedin.com/company/raqameyyah/
  • Performed end-to-end data analysis (cleaning, preprocessing, and feature engineering).
  • Designed and implemented various machine learning models to uncover insights and make accurate predictions.
  • Evaluated model performance, compared results, and selected the most appropriate algorithms to address the project objectives.
  • Stayed up to date with the latest advancements in data science.

Education

Computer and system Engineering -

Al-azhar University
Cairo, Egypt
07.2010

Skills

  • Python
  • Data wrangling
  • Data analysis
  • Data visualization
  • Feature engineering
  • Scikit-learn

Projects

  • Aviation-Flight-Fare-Prediction, 2024 https://aviation-flight-fare-prediction.streamlit.app/

           1- Cleaning the data and analyzing it to get helpful insight from it.

           2-  Applying cross validation to choose the best machine learning algorithm.

           3-  Training and testing the best model to get the right prediction.

           4-  Designing a Dashboard for insights from Data and Predicting Model. 

  • Kiva, 2023 https://kivaorg-omayma.streamlit.app/

           1-  Cleaning the data and analyzing it to get helpful insight from it.

           2-  Designing a Dashboard for insights from data.

Affiliations

  • Digital Egypt Initiative (DEPI) | Microsoft Machine Learning Engineer Intern Oct. 2024
    -online (6 months)

Statistics - Python - Preprocessing - Visualization - Machine Learning - Deep Learning - NLP
- Computer Vision - Azure - MLFlow

Certification

  • What is DataScience?
  • Tools for DataScience
  • DataScience Methodology
  • Python for DataScience, AI & Development
  • Python Project for DataScience
  • Databases and SQL for DataScience with Python
  • DataAnalysis with Python
  • DataVisualization with Python
  • Machine Learning with Python
  • Applied DataScience Capstone

Timeline

Web Scrabber

Freelancer
01.2024 - Current

Data Scientist

Raqameyyah Digital Consultancyg
05.2023 - 05.2024

Computer and system Engineering -

Al-azhar University
Omayma Ali