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Skills

  • Matplotlib
  • Numpy
  • Pandas
  • Python
  • Analytics
  • Data Analysis
  • Data Visualization
  • Data Classification
  • Data Cleaning
  • Data Cleansing
  • Data Management
  • Data Visualisation
  • Deep Learning
  • Machine Learning
  • Pandas Python

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Services

  • Professional Data Analyst

    $10/hr Starting at $25 Ongoing

    Dedicated Resource

    I am offering a data wrangling and cleaning on jupyter notebook using python pandas and numpy libraries , initial exploratory and explanatory with univariate , bivariate and multivariate visualizations...

    AnalyticsData AnalysisData CleaningData CleansingData Management
  • Machine learning

    $10/hr Starting at $30 Ongoing

    Dedicated Resource

    I am offering to make Data preprocessing and Feature engineering and build a supervised model for Data classification or Regression or Unsupervised Models as Clustering using Scikit Learn Library or Deep...

    AnalyticsData AnalysisData ClassificationData VisualizationDeep Learning

About

Udacity certified Data Analyst ,a dedicated performer who is multilingual and committed to provide excellent service

Ahmed is a Data Scientist with more than two years of coding experience, in the fields of Data Analysis, Data Visualization, Machine learning.

Professional in:
• Python, Pandas, Numpy for Data Analytics.
• Matplotlib, Seaborn for Visualization.
• Sklearn Machine Learning.
• PyTorch Deep Learning
• TensorFlow/Keras Deep Learning.
• Tableau Dashboards

Ahmed has Worked on many projects as:

• Ford Go Bike share data Exploration.
• Analyze A/B Test results with Logistic Regression.
• WeRateDogs Twitter Page Data EDA.
• Kaggle 2020 survey data analysis competition.
• Building Flower Images Classifier using Tensorflow and Keras.
• Identify Customer Segments using KMeans and PCA.
• Face generation using GANs.
• Generating TV scripts using LSTMs using PyTorch.
• Machine Translation using RNNs.
• Twitter scraper Web application.

Work Terms

I can work up to 30 hours a week , with rate 10$/hour

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