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3 followers · 1 following
  • Neo Financial
  • Canada

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Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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dataubc/README.md

  • 👋 Hi, I’m Mohammed Salama, a seasoned Lead Machine Learning Developer and Data Scientist. My enthusiasm lies in leveraging data to unravel intricate challenges, delivering substantial value to businesses and their clientele. I am deeply interested in applying ML/Data Science in diverse areas such as:

  • Fraud Detection: Utilizing advanced algorithms to identify and mitigate fraudulent activities.

  • Loss Forecasting: Predicting potential losses using data-driven insights to inform strategic decisions.

  • Growth Strategy: Harnessing data to drive business expansion and market dominance.

  • Customer Segmentation: Tailoring marketing and product strategies by grouping customers based on data trends.

  • Profitability Analysis: Analyzing data to optimize financial performance and profit margins.'

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  1. fraud_detection_model_dev_examplefraud_detection_model_dev_examplePublic

    An example on how to use python to structure a simple project for using ML to detect fraudulent transactions

    Python

  2. Modeling_IFT_for_heavy_oil_emulsionModeling_IFT_for_heavy_oil_emulsionPublic

    Modeling for paper "Underlying Physics of Heavy Oil Recovery by Gas Injection: An Experimental Parametric Analysis When Oil Exists in the Form of Oil Based Emulsion"

    HTML 1

  3. model_deploymentmodel_deploymentPublic

    Part of my teaching at Concordia Data Science Bootcamps

    Jupyter Notebook 15

  4. diabetes_risk-predictiondiabetes_risk-predictionPublic

    Early stage diabetes risk prediction

    Jupyter Notebook

  5. number_of_clicks_predictionnumber_of_clicks_predictionPublic

    Predicting the number of clicks for a hotel listing site

    Jupyter Notebook